Development of Algorithm for Voice Operated Switch for Digital Audio Control ...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
TWS earphones are also known as True Wireless Stereo (True Wireless Stereo) true wireless stereo. They are mainly connected to mobile phones through Bluetooth modules without wires.
The early Bluetooth technology was immature, resulting in poor sound quality, which was only suitable for business calls. After 2008, the Bluetooth A2DP protocol began popularizing, and the first batch of consumer-grade Bluetooth headsets was born. (Not True Wireless)
In 2014, the first "True Wireless" Bluetooth headset was launched. Still, the market response was not great, until after the release of Apple's Air pods in 2016, accompanied by the birth of Bluetooth 5.0 and 5.1 technology, the audio transmission loss was compressed to the minimum, the "True Wireless" Bluetooth smart headset has ushered in the outbreak.The audio quality control of TWS is also increasingly valued by the market. And audio test for TWS earphone is more and more important in the manufacture process.
In audio test for TWS earphone, different noise cancellation solutions bring users a different noise cancellation experience, MegaSig can provide customers and partners with a complete test instrument and system solutions from research and development to mass production.
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.
Audio Test for Earphones, Headphones, TWS, Neckbands, Smart Watches, and other Audio Products. Active Noise Cancellation (ANC) and Environmental Noise Cancellation (ENC) Description and Test Technology & Methodology.
Development of Algorithm for Voice Operated Switch for Digital Audio Control ...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
TWS earphones are also known as True Wireless Stereo (True Wireless Stereo) true wireless stereo. They are mainly connected to mobile phones through Bluetooth modules without wires.
The early Bluetooth technology was immature, resulting in poor sound quality, which was only suitable for business calls. After 2008, the Bluetooth A2DP protocol began popularizing, and the first batch of consumer-grade Bluetooth headsets was born. (Not True Wireless)
In 2014, the first "True Wireless" Bluetooth headset was launched. Still, the market response was not great, until after the release of Apple's Air pods in 2016, accompanied by the birth of Bluetooth 5.0 and 5.1 technology, the audio transmission loss was compressed to the minimum, the "True Wireless" Bluetooth smart headset has ushered in the outbreak.The audio quality control of TWS is also increasingly valued by the market. And audio test for TWS earphone is more and more important in the manufacture process.
In audio test for TWS earphone, different noise cancellation solutions bring users a different noise cancellation experience, MegaSig can provide customers and partners with a complete test instrument and system solutions from research and development to mass production.
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.
Audio Test for Earphones, Headphones, TWS, Neckbands, Smart Watches, and other Audio Products. Active Noise Cancellation (ANC) and Environmental Noise Cancellation (ENC) Description and Test Technology & Methodology.
INTRODUCTION OF A NOVEL ANOMALOUS SOUND DETECTION METHODOLOGYijsc
This paper is to introduce a novel semi-supervised methodology, the enhanced incremental principal
component analysis (“IPCA”) based deep convolutional neural network autoencoder (“DCNN-AE) for
Anomalous Sound Detection (“ASD”) with high accuracy and computing efficiency. This hybrid
methodology is to adopt Enhanced IPCA to reduce the dimensionality and then to use DCNN-AE to extract
the features of the sample sound and detect the anomality. In this project, 228 sets of normal sounds and
100 sets of anomaly sounds of same machine are used for the experiments. And the sound files of machines
(stepper motors) for the experiments are collected from a plant site. 50 random test cases are executed to
evaluate the performance of the algorithm with AUC, PAUC, F measure and Accuracy Score. IPCA Based
DCNN-AE shows high accuracy with the average AUC of 0.815793282, comparing with that of Kmeans++
of 0.499545351, of Incremental PCA based DBSCAN clustering of 0.636348073, of Incremental based
PCA based One-class SVM of 0.506749433 and of DCGAN of 0.716528104. From the perspective of
computing efficiency, because of the dimensions-reduction by the IPCA layer, the average execution time
of the new methodology is 15 minutes in the CPU computing module of 2.3 GHz quad-core processors,
comparing with that of DCGAN with 90 minutes in GPU computing module of 4 to 8 kernels.
complete seminar report on the topic silent sound technology given by raj niranjan in MCA department of BMS Institute of Technology and Management , avalahalli,bangalore ,karnataka
PHOENIX AUDIO TECHNOLOGIES - A large Audio Signal Algorithm PortfolioHTCS LLC
Phoenix Audio Technology has the attached publication available which lists their Audio Signal Algorithm Portfolio, e.g. Multi Sensor Processing, Blind Source Separation, Echo and Reference Channel Canceling, Single Sensor Processing, Multi Resolution Analysis, Single Power Compression, Direction Finding, Data Tracking, Data Fusion, and more.
Acoustic problems in an environment has gained more attention due to the tremendous growth of technology that lead to noisy engines, heavy machineries, pumps, air condition, music and other noise sources. Normally human ears are very sensitive at audio range (lower frequency) from 20 Hz to 20 kHz. So, any sound within these frequencies has the tendency to disturb human hearing and can be classified as noise. The reduction of acoustic noise in speech has been investigated for many Years .The major application of noise reduction is by improving voice communication and eliminating the noise using adaptive noise canceler.
Adaptive wavelet thresholding with robust hybrid features for text-independe...IJECEIAES
The robustness of speaker identification system over additive noise channel is crucial for real-world applications. In speaker identification (SID) systems, the extracted features from each speech frame are an essential factor for building a reliable identification system. For clean environments, the identification system works well; in noisy environments, there is an additive noise, which is affect the system. To eliminate the problem of additive noise and to achieve a high accuracy in speaker identification system a proposed algorithm for feature extraction based on speech enhancement and a combined features is presents. In this paper, a wavelet thresholding pre-processing stage, and feature warping (FW) techniques are used with two combined features named power normalized cepstral coefficients (PNCC) and gammatone frequency cepstral coefficients (GFCC) to improve the identification system robustness against different types of additive noises. Universal background model Gaussian mixture model (UBM-GMM) is used for features matching between the claim and actual speakers. The results showed performance improvement for the proposed feature extraction algorithm of identification system comparing with conventional features over most types of noises and different SNR ratios.
Teleconferencing plugin for noisy environmentIAMCP MENTORING
The Conference Denoiser plugin integrates with a client-side of teleconferencing system on notebooks, MacBook, tablets, smartphones. It adjusts sound levels according to surrounding noises, personal hearing profile, suppress noises, and protect hearing.
We offer integration for teleconference systems vendors.
From lung/heart/ambient source separation to clinical unimodal
classification
Alternative download link:
https://www.dropbox.com/scl/fi/8s7uq4h0fi8lgqbzqwg83/wearableMic_signal.pdf?rlkey=l2tqg5yffd4e0w224g3cs6pfl&dl=0
INTRODUCTION OF A NOVEL ANOMALOUS SOUND DETECTION METHODOLOGYijsc
This paper is to introduce a novel semi-supervised methodology, the enhanced incremental principal
component analysis (“IPCA”) based deep convolutional neural network autoencoder (“DCNN-AE) for
Anomalous Sound Detection (“ASD”) with high accuracy and computing efficiency. This hybrid
methodology is to adopt Enhanced IPCA to reduce the dimensionality and then to use DCNN-AE to extract
the features of the sample sound and detect the anomality. In this project, 228 sets of normal sounds and
100 sets of anomaly sounds of same machine are used for the experiments. And the sound files of machines
(stepper motors) for the experiments are collected from a plant site. 50 random test cases are executed to
evaluate the performance of the algorithm with AUC, PAUC, F measure and Accuracy Score. IPCA Based
DCNN-AE shows high accuracy with the average AUC of 0.815793282, comparing with that of Kmeans++
of 0.499545351, of Incremental PCA based DBSCAN clustering of 0.636348073, of Incremental based
PCA based One-class SVM of 0.506749433 and of DCGAN of 0.716528104. From the perspective of
computing efficiency, because of the dimensions-reduction by the IPCA layer, the average execution time
of the new methodology is 15 minutes in the CPU computing module of 2.3 GHz quad-core processors,
comparing with that of DCGAN with 90 minutes in GPU computing module of 4 to 8 kernels.
complete seminar report on the topic silent sound technology given by raj niranjan in MCA department of BMS Institute of Technology and Management , avalahalli,bangalore ,karnataka
PHOENIX AUDIO TECHNOLOGIES - A large Audio Signal Algorithm PortfolioHTCS LLC
Phoenix Audio Technology has the attached publication available which lists their Audio Signal Algorithm Portfolio, e.g. Multi Sensor Processing, Blind Source Separation, Echo and Reference Channel Canceling, Single Sensor Processing, Multi Resolution Analysis, Single Power Compression, Direction Finding, Data Tracking, Data Fusion, and more.
Acoustic problems in an environment has gained more attention due to the tremendous growth of technology that lead to noisy engines, heavy machineries, pumps, air condition, music and other noise sources. Normally human ears are very sensitive at audio range (lower frequency) from 20 Hz to 20 kHz. So, any sound within these frequencies has the tendency to disturb human hearing and can be classified as noise. The reduction of acoustic noise in speech has been investigated for many Years .The major application of noise reduction is by improving voice communication and eliminating the noise using adaptive noise canceler.
Adaptive wavelet thresholding with robust hybrid features for text-independe...IJECEIAES
The robustness of speaker identification system over additive noise channel is crucial for real-world applications. In speaker identification (SID) systems, the extracted features from each speech frame are an essential factor for building a reliable identification system. For clean environments, the identification system works well; in noisy environments, there is an additive noise, which is affect the system. To eliminate the problem of additive noise and to achieve a high accuracy in speaker identification system a proposed algorithm for feature extraction based on speech enhancement and a combined features is presents. In this paper, a wavelet thresholding pre-processing stage, and feature warping (FW) techniques are used with two combined features named power normalized cepstral coefficients (PNCC) and gammatone frequency cepstral coefficients (GFCC) to improve the identification system robustness against different types of additive noises. Universal background model Gaussian mixture model (UBM-GMM) is used for features matching between the claim and actual speakers. The results showed performance improvement for the proposed feature extraction algorithm of identification system comparing with conventional features over most types of noises and different SNR ratios.
Teleconferencing plugin for noisy environmentIAMCP MENTORING
The Conference Denoiser plugin integrates with a client-side of teleconferencing system on notebooks, MacBook, tablets, smartphones. It adjusts sound levels according to surrounding noises, personal hearing profile, suppress noises, and protect hearing.
We offer integration for teleconference systems vendors.
From lung/heart/ambient source separation to clinical unimodal
classification
Alternative download link:
https://www.dropbox.com/scl/fi/8s7uq4h0fi8lgqbzqwg83/wearableMic_signal.pdf?rlkey=l2tqg5yffd4e0w224g3cs6pfl&dl=0
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/