Submit Search
Upload
Seminar
•
0 likes
•
732 views
Lakshman Prasad
Follow
Enhanced Mutimedia Search
Read less
Read more
Technology
News & Politics
Report
Share
Report
Share
1 of 18
Recommended
This slide set was presented at UCSB on Sep. 30, 2017. The talk covers an extended version of the slides from SoCC 2017 plus a quick overview of Apache Flink.
JT@UCSB - On-Demand Data Streaming from Sensor Nodes and A quick overview of ...
JT@UCSB - On-Demand Data Streaming from Sensor Nodes and A quick overview of ...
Jonas Traub
Max_Poster_FINAL
Max_Poster_FINAL
Max Robertson
Matlab: Speech Signal Analysis
Matlab: Speech Signal Analysis
Matlab: Speech Signal Analysis
DataminingTools Inc
IEEE International Workshop on Machine Learning for Signal Processing (MLSP2017) Nominated For Best Student Paper Award (student: Shogo Seki) Shogo Seki, Hirokazu Kameoka, Tomoki Toda, Kazuya Takeda: Missing Component Restoration for Masked Speech Signals based on Time-Domain Spectrogram Factorization,Sep. 2017 Toda Laboratory, Department of Intelligent Systems, Graduate School of Informatics, Nagoya University
Missing Component Restoration for Masked Speech Signals based on Time-Domain ...
Missing Component Restoration for Masked Speech Signals based on Time-Domain ...
NU_I_TODALAB
immage processing using python
Research plan
Research plan
denaldo2012
IEEE ICASSP 2020 Koichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Weakly-supervised sound event detection with self-attention, May 2020 Toda Laboratory, Department of Intelligent Systems, Graduate School of Informatics, Nagoya University
Weakly-Supervised Sound Event Detection with Self-Attention
Weakly-Supervised Sound Event Detection with Self-Attention
NU_I_TODALAB
Presentation of the paper "Optimizing the Number of Samples for Multi-Channel Spectrum Sensing" at the IEEE International Conference on Communications (IEEE ICC 2015)
Optimizing the Number of Samples for Multi-Channel Spectrum Sensing
Optimizing the Number of Samples for Multi-Channel Spectrum Sensing
Fabrizio Granelli
2010/04/05 ICMU@Seattle
2010-04-24-DTN-based Delivery of Word-of-Mouth Information with Priority and ...
2010-04-24-DTN-based Delivery of Word-of-Mouth Information with Priority and ...
Kawai (Sun) Akira (Weihua)
Recommended
This slide set was presented at UCSB on Sep. 30, 2017. The talk covers an extended version of the slides from SoCC 2017 plus a quick overview of Apache Flink.
JT@UCSB - On-Demand Data Streaming from Sensor Nodes and A quick overview of ...
JT@UCSB - On-Demand Data Streaming from Sensor Nodes and A quick overview of ...
Jonas Traub
Max_Poster_FINAL
Max_Poster_FINAL
Max Robertson
Matlab: Speech Signal Analysis
Matlab: Speech Signal Analysis
Matlab: Speech Signal Analysis
DataminingTools Inc
IEEE International Workshop on Machine Learning for Signal Processing (MLSP2017) Nominated For Best Student Paper Award (student: Shogo Seki) Shogo Seki, Hirokazu Kameoka, Tomoki Toda, Kazuya Takeda: Missing Component Restoration for Masked Speech Signals based on Time-Domain Spectrogram Factorization,Sep. 2017 Toda Laboratory, Department of Intelligent Systems, Graduate School of Informatics, Nagoya University
Missing Component Restoration for Masked Speech Signals based on Time-Domain ...
Missing Component Restoration for Masked Speech Signals based on Time-Domain ...
NU_I_TODALAB
immage processing using python
Research plan
Research plan
denaldo2012
IEEE ICASSP 2020 Koichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Weakly-supervised sound event detection with self-attention, May 2020 Toda Laboratory, Department of Intelligent Systems, Graduate School of Informatics, Nagoya University
Weakly-Supervised Sound Event Detection with Self-Attention
Weakly-Supervised Sound Event Detection with Self-Attention
NU_I_TODALAB
Presentation of the paper "Optimizing the Number of Samples for Multi-Channel Spectrum Sensing" at the IEEE International Conference on Communications (IEEE ICC 2015)
Optimizing the Number of Samples for Multi-Channel Spectrum Sensing
Optimizing the Number of Samples for Multi-Channel Spectrum Sensing
Fabrizio Granelli
2010/04/05 ICMU@Seattle
2010-04-24-DTN-based Delivery of Word-of-Mouth Information with Priority and ...
2010-04-24-DTN-based Delivery of Word-of-Mouth Information with Priority and ...
Kawai (Sun) Akira (Weihua)
Paper presented @Tyrrhenian Workshop on the Internet of Things 2009 ZigBee is probably the most popular IEEE 802.15.4 implementation used for Wireless Sensor Networks (WSN). The radio communication can also be used for localization purposes using fixed network devices as reference points. In this paper, the authors describe a procedure for automatically configuring a ZigBee-based localization appli-cation with environment-optimized parameters.
Localization Issues in a ZigBee based Internet of Things scenario
Localization Issues in a ZigBee based Internet of Things scenario
Massimiliano Dibitonto
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 JAVA NETWORKING PROJECTS Snapshot and continuous data collection in...
IEEE 2014 JAVA NETWORKING PROJECTS Snapshot and continuous data collection in...
IEEEGLOBALSOFTSTUDENTPROJECTS
Moving Object Localization based on Binaural Hearing
M.sc. presentation t.bagheri fashkhami
M.sc. presentation t.bagheri fashkhami
taherbagherif
Guest presentation at "Applied Gaussian Process and Machine Learning," Graduate School of Information Science and Technology, The University of Tokyo, Japan, 2021.
GAN-based statistical speech synthesis (in Japanese)
GAN-based statistical speech synthesis (in Japanese)
Yuki Saito
The precise indoor tracking system using Xbee signal strength protocol has become a potential research to the WSN applications. The main aspects for the success tracking system is accuracy performance based on location estimation. The improvement of location estimation is complicated issue, especially using RSSI with low accuracy due to the signal attenuation from multipath effect at indoor propagation. Hence, many existing research typically focused on specific methods for providing improvement schemes at tracking system area. Then, we propose hybrid filter schemes, including extended gradient filter (EGF) for filtering noise signal based distance modification, and modified extended Kalman filter (MIEKF) will be combined with trilateration for filtering the error position estimation. Using mobile cooperative tracking scenario refers to our previous work, the proposed hybrid filter scheme which is called modified iterated extended gradient Kalman filter (MIEGKF) can optimize the error estimation around 41.28% reduction with 0.63 meters MSE (mean square error) value.
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
TELKOMNIKA JOURNAL
A report on the work done by me on very interesting sparsity-based DoA Estimators
Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator
Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator
Jason Fernandes
This talk presents Traffic Mining (TM) particularly in regard to VoiP applications such as Skype. TM is a method to digest and understand large quantities of data. Voice over IP (VoIP) has experienced a tremendous growth over the last few years and is now widely used among the population and for business purposes. The security of such VoIP systems is often assumed, creating a false sense of privacy. Stefan will present research into leakage of information from Skype, a widely used and protected VoIP application. Experiments have shown that isolated phonemes can be classified and given sentences identified. By using the dynamic time warping (DTW) algorithm, frequently used in speech processing, an accuracy of 60% can be reached. The results can be further improved by choosing specific training data and reach an accuracy of 83% under specific conditions.
Encrypted Traffic Mining
Encrypted Traffic Mining
Henry Huang
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
F0331031037
F0331031037
inventionjournals
Signals and Systems
Signals and Systems
Andrei Popescu
Presented in APSIPA ASC 2019 in Lanzhou, China
A Generalization of Laplace Nonnegative Matrix Factorizationand Its Multichan...
A Generalization of Laplace Nonnegative Matrix Factorizationand Its Multichan...
Hiroki_Tanji
Single Electron Spin Detection Slides For Uno Interview
Single Electron Spin Detection Slides For Uno Interview
chenhm
Research Speech for cyber school
Research Speech for cyber school
Titusville Area School District
A presentation for the planning day for Catholic Education, Cairns focusing on “Contemporary School Library Design” - ensuring that pedagogy drives the design and functionality of our school libraries.
21c School Libraries Leading Learning
21c School Libraries Leading Learning
Judy O'Connell
DepEd's electronic presentation on the controversial cyber-education project (June 2007)
On Philippine Cyber-education Project (CEP)
On Philippine Cyber-education Project (CEP)
Dong Calmada
Balanced Trees
Balanced Trees
Sri Prasanna
BST, RBT, Tree
Red black tree
Red black tree
Dr Sandeep Kumar Poonia
explaining image concept and compression, a course material at IMTelkom (http://www.imtelkom.ac.id)
Multimedia Object - Image
Multimedia Object - Image
Telkom Institute of Management
Lecture# 7 midi file format
Lecture# 7 midi file format
Mr SMAK
Red Black Trees
Red Black Trees
Piotr Szymański
Image Processing
Image Processing
tijeel
This presentation walks you through the basics of the MIDI protocol. An abbreviation for Musical Instrument Digital Interface, MIDI is an industry standard communications protocol used for electronic musical instruments and other stage, sound, control equipment, to talk to each other.
The MIDI Protocol - Musical Instrument Digital Interface
The MIDI Protocol - Musical Instrument Digital Interface
Bhaumik Bhatt
ahuter by mahder wendosen compter sience lecture
Chapter 2 multimedia authoring and tools
Chapter 2 multimedia authoring and tools
ABDUmomo
More Related Content
What's hot
Paper presented @Tyrrhenian Workshop on the Internet of Things 2009 ZigBee is probably the most popular IEEE 802.15.4 implementation used for Wireless Sensor Networks (WSN). The radio communication can also be used for localization purposes using fixed network devices as reference points. In this paper, the authors describe a procedure for automatically configuring a ZigBee-based localization appli-cation with environment-optimized parameters.
Localization Issues in a ZigBee based Internet of Things scenario
Localization Issues in a ZigBee based Internet of Things scenario
Massimiliano Dibitonto
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 JAVA NETWORKING PROJECTS Snapshot and continuous data collection in...
IEEE 2014 JAVA NETWORKING PROJECTS Snapshot and continuous data collection in...
IEEEGLOBALSOFTSTUDENTPROJECTS
Moving Object Localization based on Binaural Hearing
M.sc. presentation t.bagheri fashkhami
M.sc. presentation t.bagheri fashkhami
taherbagherif
Guest presentation at "Applied Gaussian Process and Machine Learning," Graduate School of Information Science and Technology, The University of Tokyo, Japan, 2021.
GAN-based statistical speech synthesis (in Japanese)
GAN-based statistical speech synthesis (in Japanese)
Yuki Saito
The precise indoor tracking system using Xbee signal strength protocol has become a potential research to the WSN applications. The main aspects for the success tracking system is accuracy performance based on location estimation. The improvement of location estimation is complicated issue, especially using RSSI with low accuracy due to the signal attenuation from multipath effect at indoor propagation. Hence, many existing research typically focused on specific methods for providing improvement schemes at tracking system area. Then, we propose hybrid filter schemes, including extended gradient filter (EGF) for filtering noise signal based distance modification, and modified extended Kalman filter (MIEKF) will be combined with trilateration for filtering the error position estimation. Using mobile cooperative tracking scenario refers to our previous work, the proposed hybrid filter scheme which is called modified iterated extended gradient Kalman filter (MIEGKF) can optimize the error estimation around 41.28% reduction with 0.63 meters MSE (mean square error) value.
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
TELKOMNIKA JOURNAL
A report on the work done by me on very interesting sparsity-based DoA Estimators
Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator
Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator
Jason Fernandes
This talk presents Traffic Mining (TM) particularly in regard to VoiP applications such as Skype. TM is a method to digest and understand large quantities of data. Voice over IP (VoIP) has experienced a tremendous growth over the last few years and is now widely used among the population and for business purposes. The security of such VoIP systems is often assumed, creating a false sense of privacy. Stefan will present research into leakage of information from Skype, a widely used and protected VoIP application. Experiments have shown that isolated phonemes can be classified and given sentences identified. By using the dynamic time warping (DTW) algorithm, frequently used in speech processing, an accuracy of 60% can be reached. The results can be further improved by choosing specific training data and reach an accuracy of 83% under specific conditions.
Encrypted Traffic Mining
Encrypted Traffic Mining
Henry Huang
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
F0331031037
F0331031037
inventionjournals
Signals and Systems
Signals and Systems
Andrei Popescu
Presented in APSIPA ASC 2019 in Lanzhou, China
A Generalization of Laplace Nonnegative Matrix Factorizationand Its Multichan...
A Generalization of Laplace Nonnegative Matrix Factorizationand Its Multichan...
Hiroki_Tanji
Single Electron Spin Detection Slides For Uno Interview
Single Electron Spin Detection Slides For Uno Interview
chenhm
What's hot
(11)
Localization Issues in a ZigBee based Internet of Things scenario
Localization Issues in a ZigBee based Internet of Things scenario
IEEE 2014 JAVA NETWORKING PROJECTS Snapshot and continuous data collection in...
IEEE 2014 JAVA NETWORKING PROJECTS Snapshot and continuous data collection in...
M.sc. presentation t.bagheri fashkhami
M.sc. presentation t.bagheri fashkhami
GAN-based statistical speech synthesis (in Japanese)
GAN-based statistical speech synthesis (in Japanese)
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System
Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator
Sparsity based Joint Direction-of-Arrival and Offset Frequency Estimator
Encrypted Traffic Mining
Encrypted Traffic Mining
F0331031037
F0331031037
Signals and Systems
Signals and Systems
A Generalization of Laplace Nonnegative Matrix Factorizationand Its Multichan...
A Generalization of Laplace Nonnegative Matrix Factorizationand Its Multichan...
Single Electron Spin Detection Slides For Uno Interview
Single Electron Spin Detection Slides For Uno Interview
Viewers also liked
Research Speech for cyber school
Research Speech for cyber school
Titusville Area School District
A presentation for the planning day for Catholic Education, Cairns focusing on “Contemporary School Library Design” - ensuring that pedagogy drives the design and functionality of our school libraries.
21c School Libraries Leading Learning
21c School Libraries Leading Learning
Judy O'Connell
DepEd's electronic presentation on the controversial cyber-education project (June 2007)
On Philippine Cyber-education Project (CEP)
On Philippine Cyber-education Project (CEP)
Dong Calmada
Balanced Trees
Balanced Trees
Sri Prasanna
BST, RBT, Tree
Red black tree
Red black tree
Dr Sandeep Kumar Poonia
explaining image concept and compression, a course material at IMTelkom (http://www.imtelkom.ac.id)
Multimedia Object - Image
Multimedia Object - Image
Telkom Institute of Management
Lecture# 7 midi file format
Lecture# 7 midi file format
Mr SMAK
Red Black Trees
Red Black Trees
Piotr Szymański
Image Processing
Image Processing
tijeel
This presentation walks you through the basics of the MIDI protocol. An abbreviation for Musical Instrument Digital Interface, MIDI is an industry standard communications protocol used for electronic musical instruments and other stage, sound, control equipment, to talk to each other.
The MIDI Protocol - Musical Instrument Digital Interface
The MIDI Protocol - Musical Instrument Digital Interface
Bhaumik Bhatt
ahuter by mahder wendosen compter sience lecture
Chapter 2 multimedia authoring and tools
Chapter 2 multimedia authoring and tools
ABDUmomo
Lec 17 heap data structure
Lec 17 heap data structure
Sajid Marwat
Multimedia Technologies Introduction Subject Multimedia Technology introduction - I created these slides for my students to teach CMP 383 Multimedia Technology at Jazan Community College , Jazan University
multimedia technologies Introduction
multimedia technologies Introduction
Mohammed Fareed
this ppt help in image processing
Image processing
Image processing
Varun Raj
christ university
Speech recognition
Speech recognition
Charu Joshi
This Chapter contains information about sound,vaughans law of multimedia minimum
Multimedia chapter 4
Multimedia chapter 4
PrathimaBaliga
Power point presentation for P31 Technology seminar 2012 session one
Technology powerpoint presentations
Technology powerpoint presentations
ismailraesha
Image processing ppt
Image processing ppt
Raviteja Chowdary Adusumalli
This presentation provides information on Multimedia and also enlightens us about Features of Multimedia
Multimedia
Multimedia
Shivam Tuteja
Presentation on Digital Image Processing. Part of my Btech project.
Digital Image Processing
Digital Image Processing
Sahil Biswas
Viewers also liked
(20)
Research Speech for cyber school
Research Speech for cyber school
21c School Libraries Leading Learning
21c School Libraries Leading Learning
On Philippine Cyber-education Project (CEP)
On Philippine Cyber-education Project (CEP)
Balanced Trees
Balanced Trees
Red black tree
Red black tree
Multimedia Object - Image
Multimedia Object - Image
Lecture# 7 midi file format
Lecture# 7 midi file format
Red Black Trees
Red Black Trees
Image Processing
Image Processing
The MIDI Protocol - Musical Instrument Digital Interface
The MIDI Protocol - Musical Instrument Digital Interface
Chapter 2 multimedia authoring and tools
Chapter 2 multimedia authoring and tools
Lec 17 heap data structure
Lec 17 heap data structure
multimedia technologies Introduction
multimedia technologies Introduction
Image processing
Image processing
Speech recognition
Speech recognition
Multimedia chapter 4
Multimedia chapter 4
Technology powerpoint presentations
Technology powerpoint presentations
Image processing ppt
Image processing ppt
Multimedia
Multimedia
Digital Image Processing
Digital Image Processing
Similar to Seminar
Voice is the best biometric feature for investigation and authentication. It has both biological and behavioural features. The acoustic features are related to the voice. The Speaker Recognition System is designed for the automatic authentication of speaker’s identity which is truly based on the human’s voice. Mel Frequency Cepstrum coefficient (MFCC) and Linear Prediction Cepstrum coefficient (LPCC) are taken in use for feature extraction from the provided voice sample. This paper provides a comparative study of MFCC and LPCC based on the accuracy of results and their working methodology. The results are better if MFCC is used for feature extraction.
05 comparative study of voice print based acoustic features mfcc and lpcc
05 comparative study of voice print based acoustic features mfcc and lpcc
IJAEMSJORNAL
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Emotion Recognition based on audio signal using GFCC Extraction and BPNN Clas...
Emotion Recognition based on audio signal using GFCC Extraction and BPNN Clas...
ijceronline
Environmental Sound detection Using MFCC technique
Environmental Sound detection Using MFCC technique
Pankaj Kumar
Presence of noise increases the dimension of the information. A noise suppression algorithm is developed with an idea of combining the General Kalman Filter and Estimate Maximization (EM) frame work.This combination is helpful and effective in identifying noise characteristics of an acoustic environment. Recursion between Estimate step and Maximization step enabled the algorithm to deal any model of noise. The same Speech enhancement procedure in applied in the pre-processing stage of a conventional Speaker identification method. Due to the non-stationary nature of noise and speech adaptive algorithms are required. Algorithm is first applied for Speech enhancement problem and then extended to using it in the pre-processing step of the Speaker identification. The present work is compared in terms of significant metrics with existing and popular algorithms and results show that the developed algorithm is dominant over them.
General Kalman Filter & Speech Enhancement for Speaker Identification
General Kalman Filter & Speech Enhancement for Speaker Identification
ijcisjournal
Analysis of video streaming on multiple devices wirelessly
Video
Video
William Aruga
The performance of speaker identification systems decreases significantly under noisy conditions and especially when there is a difference between the recognition and the learning sessions. To improve robustness, we have proposed in the previous study an auditory features and a robust speaker recognition system using a front-end based on the combination of MFCC and RASTA-PLP methods. In this paper, we further study the auditory features by exploring the combination of GFCC and RASTA-PLP. We find that the method performs substantially better than all previous studied methods. Furthermore, our current identification system achieves significant performance improvements of 5.92% in a wide range of signal-to-noise conditions compared with the last studied front-end based on MFCC combined to RASTA-PLP. Experimental results show an average accuracy improvement of 10.11% in case of GFCC combined with RASTA-PLP over the base line MFCC thechnique across various SNR. This fusion approach allow a highly and appreciable enhancement in the higher noisy conditions.
Fusion Approach for Robust Speaker Identification System
Fusion Approach for Robust Speaker Identification System
IJCSIS Research Publications
In this study, we attempted to find the optimal hyper-parameters of the convolutional recurrent neural network (CRNN) by investigating its performance on acoustic event detection. Important hyper-parameters such as the input segment length, learning rate, and criterion for the convergence test, were determined experimentally. Additionally, the effects of batch normalization and dropout on the performance were measured experimentally to obtain their optimal combination. Further, we studied the effects of varying the batch data on every iteration during the training. From the experimental results using the TUT sound events synthetic 2016 database, we obtained optimal performance with a learning rate of 1/10000. We found that a longer input segment length aided performance improvement, and batch normalization was far more effective than dropout. Finally, performance improvement was clearly observed by varying the starting points of the batch data for each iteration during the training.
Performance analysis of the convolutional recurrent neural network on acousti...
Performance analysis of the convolutional recurrent neural network on acousti...
journalBEEI
Speaker Recognition under limited Data condition
Speaker Recognition
Speaker Recognition
niranjan kumar
This paper proposes a simple but yet an effective new method for the problem of digital video camera identification. It is known that after an exposure time of 0.15 seconds, the green channel is the noisiest of the three RGB colour channels [5]. Based on this observation, the digital camera pattern noise reference, which is extracted using only the green channel of the frames and is called Green-channel Photo Response Non-Uniformity (G-PRNU), is exploited as a fingerprint of the camera. The green channels are first resized to a standard frame size (512x512) using bilinear interpolation. Then the camera fingerprint is obtained by a wavelet based denoising filter described in [4] and averaged over the frames. 2-D correlation coefficient is used in the detection test. This method has been evaluated using 290 video sequences taken by four consumer digital video cameras and two mobile phones. The results show G-PRNU has potential to be a reliable technique in digital video camera identification,and gives better results than PRNU.
DIGITAL VIDEO SOURCE IDENTIFICATION BASED ON GREEN-CHANNEL PHOTO RESPONSE NON...
DIGITAL VIDEO SOURCE IDENTIFICATION BASED ON GREEN-CHANNEL PHOTO RESPONSE NON...
csandit
https://okokprojects.com/ IEEE PROJECTS 2023-2024 TITLE LIST WhatsApp : +91-8144199666 From Our Title List the Cost will be, Mail Us: okokprojects@gmail.com Website: : https://www.okokprojects.com : http://www.ieeeproject.net Support Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Video Tutorials * Supporting Softwares Support Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * Remote Connectivity * Document Customization * Live Chat Support
Complex Valued Long Short Term Memory Based Architecture for Frequency Domain...
Complex Valued Long Short Term Memory Based Architecture for Frequency Domain...
OKOKPROJECTS
Ijarcet vol-2-issue-4-1347-1351
Ijarcet vol-2-issue-4-1347-1351
Editor IJARCET
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
H43044145
H43044145
IJERA Editor
This presentation talks about my B.Tech project involving NTSC signal demodulation in software, using matlab scripts
NTSC Software Decoding Presentation
NTSC Software Decoding Presentation
Prateek Dayal
1801 1805
1801 1805
Editor IJARCET
1801 1805
1801 1805
Editor IJARCET
https://www.irjet.net/archives/V6/i3/IRJET-V6I3106.pdf
IRJET- Musical Instrument Recognition using CNN and SVM
IRJET- Musical Instrument Recognition using CNN and SVM
IRJET Journal
Development of voice password based speaker verification system
Development of voice password based speaker verification system
niranjan kumar
VOWEL REGION IS USED BECAUSE IT HAS HIGH ENERGY SO WE CAN EASILY DETECT SPEKER
Development of voice password based speaker verification system
Development of voice password based speaker verification system
niranjan kumar
Audio signals containing secret information or not is a security issue addressed in the context of steganalysis. ThRainfalle conceptual ide lies in the difference of the distribution of various statistical distance measures between the cover audio signals and stego audio signals. The aim of the propose system is to analyze the audio signal which have the presence of information hiding behavior or not. Mel frequency ceptral coefficient, zero crossing rate, spectral flux and short time energy features of audio signal are extracted, and combine these features with the features extracted from the modified version that is generated by randomly modifying with significant bits. Moreover, the extracted features are detected or classified with a support vector machine in this propose system. Experimental result show that the propose method performs well in steganalysis of the audio stegnograms that are produced by using S tools4. Khin Myo Kyi "Audio Features Based Steganography Detection in WAV File" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26807.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/26807/audio-features-based-steganography-detection-in-wav-file/khin-myo-kyi
Audio Features Based Steganography Detection in WAV File
Audio Features Based Steganography Detection in WAV File
ijtsrd
VOICE PASSWORD BASED SPEAKER VERIFICATION SYSTEM USING VOWEL AND NON VOWEL RE...
VOICE PASSWORD BASED SPEAKER VERIFICATION SYSTEM USING VOWEL AND NON VOWEL RE...
niranjan kumar
Similar to Seminar
(20)
05 comparative study of voice print based acoustic features mfcc and lpcc
05 comparative study of voice print based acoustic features mfcc and lpcc
Emotion Recognition based on audio signal using GFCC Extraction and BPNN Clas...
Emotion Recognition based on audio signal using GFCC Extraction and BPNN Clas...
Environmental Sound detection Using MFCC technique
Environmental Sound detection Using MFCC technique
General Kalman Filter & Speech Enhancement for Speaker Identification
General Kalman Filter & Speech Enhancement for Speaker Identification
Video
Video
Fusion Approach for Robust Speaker Identification System
Fusion Approach for Robust Speaker Identification System
Performance analysis of the convolutional recurrent neural network on acousti...
Performance analysis of the convolutional recurrent neural network on acousti...
Speaker Recognition
Speaker Recognition
DIGITAL VIDEO SOURCE IDENTIFICATION BASED ON GREEN-CHANNEL PHOTO RESPONSE NON...
DIGITAL VIDEO SOURCE IDENTIFICATION BASED ON GREEN-CHANNEL PHOTO RESPONSE NON...
Complex Valued Long Short Term Memory Based Architecture for Frequency Domain...
Complex Valued Long Short Term Memory Based Architecture for Frequency Domain...
Ijarcet vol-2-issue-4-1347-1351
Ijarcet vol-2-issue-4-1347-1351
H43044145
H43044145
NTSC Software Decoding Presentation
NTSC Software Decoding Presentation
1801 1805
1801 1805
1801 1805
1801 1805
IRJET- Musical Instrument Recognition using CNN and SVM
IRJET- Musical Instrument Recognition using CNN and SVM
Development of voice password based speaker verification system
Development of voice password based speaker verification system
Development of voice password based speaker verification system
Development of voice password based speaker verification system
Audio Features Based Steganography Detection in WAV File
Audio Features Based Steganography Detection in WAV File
VOICE PASSWORD BASED SPEAKER VERIFICATION SYSTEM USING VOWEL AND NON VOWEL RE...
VOICE PASSWORD BASED SPEAKER VERIFICATION SYSTEM USING VOWEL AND NON VOWEL RE...
More from Lakshman Prasad
Talk at HasGeek's AngularJS Mini Conf, as a part of MetaRefresh 2013
Intro to Angular Directives using Interactive charting directives that use Hi...
Intro to Angular Directives using Interactive charting directives that use Hi...
Lakshman Prasad
Pycon India 12
Pycon India 12
Lakshman Prasad
Web development frameworks conceptualize various abstractions to make common web development paradigms easy to implement. These abstractions have to be "transparent" in that they enable developer to override where necessary. Django, a modern python framework provides a full stack framework and has pioneered best practices in defining these abstractions for various web application paradigms such as Authentication, Permissions, Sessions, Caching, Security from CSRF, File Storage, Form Validation, etc. The abstractions provided by django are transparent and extensible and are as such referred to in the community to be "Djangoic" The session covers these abstractions, their defaults and using some of their transparencies to achieve a few non-default common ends such as using cloud storage services like Amazon web services, Implementing LDAP authentication, Implementing caching using Memcached, database and NoSQL data stores. The biggest take away to the developer is the ability to identify and create other Djangoic solutions that are transparent abstractions by examining the ones implemented within django and developed by the community in open source applications.
djangoic approach to implement common web development paradigms
djangoic approach to implement common web development paradigms
Lakshman Prasad
Web Development Paradigms and djangoic approach to deal with them
Web Development Paradigms and djangoic approach to deal with them
Lakshman Prasad
A talk introducing django and using it effectively, at Great Indian Developer Summit.
Building Pluggable Web Applications using Django
Building Pluggable Web Applications using Django
Lakshman Prasad
Python Meta Classes and how django uses them
Python Meta Classes and how django uses them
Lakshman Prasad
Introduction to Web development in django framework
Web Development in Django
Web Development in Django
Lakshman Prasad
More from Lakshman Prasad
(7)
Intro to Angular Directives using Interactive charting directives that use Hi...
Intro to Angular Directives using Interactive charting directives that use Hi...
Pycon India 12
Pycon India 12
djangoic approach to implement common web development paradigms
djangoic approach to implement common web development paradigms
Web Development Paradigms and djangoic approach to deal with them
Web Development Paradigms and djangoic approach to deal with them
Building Pluggable Web Applications using Django
Building Pluggable Web Applications using Django
Python Meta Classes and how django uses them
Python Meta Classes and how django uses them
Web Development in Django
Web Development in Django
Recently uploaded
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
Boston Institute of Analytics
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
The Digital Insurer
This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
The Digital Insurer
A Principled Technologies deployment guide Conclusion Deploying VMware Cloud Foundation 5.1 on next gen Dell PowerEdge servers brings together critical virtualization capabilities and high-performing hardware infrastructure. Relying on our hands-on experience, this deployment guide offers a comprehensive roadmap that can guide your organization through the seamless integration of advanced VMware cloud solutions with the performance and reliability of Dell PowerEdge servers. In addition to the deployment efficiency, the Cloud Foundation 5.1 and PowerEdge solution delivered strong performance while running a MySQL database workload. By leveraging VMware Cloud Foundation 5.1 and PowerEdge servers, you could help your organization embrace cloud computing with confidence, potentially unlocking a new level of agility, scalability, and efficiency in your data center operations.
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Principled Technologies
Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Roshan Dwivedi
With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Principled Technologies
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
UK Journal
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Recently uploaded
(20)
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Seminar
1.
ENHANCED MULTIMEDIA SEARCH
Lakshman Prasad 4MC02EC032 VIII semester E&C
2.
3.
4.
5.
6.
7.
Time Series Active
Search
8.
9.
10.
11.
‘ AND’ search
12.
13.
14.
15.
16.
17.
18.