Environmentally robust ASR front end for DNN-based acoustic modelsTakuya Yoshioka
The individual and combined impacts of various front-end approaches on the performance of deep neural network (DNN) based speech recognition systems are examined in distant talking situations. The contents were published in:
Takuya Yoshioka and Mark J. F. Gales, "Environmentally robust ASR front-end for deep neural network acoustic models," Computer Speech and Language, vol. 31, no. 1, pp. 65-86, May 2015.
The presentation covers sampling theorem, ideal sampling, flat top sampling, natural sampling, reconstruction of signals from samples, aliasing effect, zero order hold, upsampling, downsampling, and discrete time processing of continuous time signals.
Environmentally robust ASR front end for DNN-based acoustic modelsTakuya Yoshioka
The individual and combined impacts of various front-end approaches on the performance of deep neural network (DNN) based speech recognition systems are examined in distant talking situations. The contents were published in:
Takuya Yoshioka and Mark J. F. Gales, "Environmentally robust ASR front-end for deep neural network acoustic models," Computer Speech and Language, vol. 31, no. 1, pp. 65-86, May 2015.
The presentation covers sampling theorem, ideal sampling, flat top sampling, natural sampling, reconstruction of signals from samples, aliasing effect, zero order hold, upsampling, downsampling, and discrete time processing of continuous time signals.
These are the slides for the presentation titled "Neural source-waveform model," given at ICASSP 2019 in Brighton, UK.
Presenter: Xin Wang, National Institute of Informatics, Japan
Sampling is a Simple method to convert analog signal into discrete Signal by using any one of its three methods
if the sampling frequency is twice or greater than twice then sampled signal can be convert back into analog signal easily......
The discrete Fourier transform has many applications in science and engineering. For example, it is often used in digital signal processing applications such as voice recognition and image processing.
Time-Frequency Representation of Microseismic Signals using the SSTUT Technology
Resonance frequencies could provide useful information on the deformation occurring during fracturing experiments or CO2 management, complementary to the microseismic events distribution. An accurate time-frequency representation is of crucial importance to interpret the cause of resonance frequencies during microseismic experiments. The popular methods of Short-Time Fourier Transform (STFT) and wavelet analysis have limitations in representing close frequencies and dealing with fast varying instantaneous frequencies and this is often the nature of microseismic signals. The synchrosqueezing transform (SST) is a promising tool to track these resonant frequencies and provide a detailed time-frequency representation. Here we apply the synchrosqueezing transform to microseismic signals and also show its potential to general seismic signal processing applications.
These are slides used for invited tutorial on "end-to-end text-to-speech synthesis", given at IEICE SP workshop held on 27th Jan 2019.
Part 1: Neural waveform modeling
Presenters: Xin Wang, Yusuke Yasuda (National Institute of Informatics, Japan)
Prior distribution design for music bleeding-sound reduction based on nonnega...Kitamura Laboratory
Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Prior distribution design for music bleeding-sound reduction based on nonnegative matrix factorization," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), pp. 651–658, Tokyo, Japan, December 2021.
Radio Signal Classification with Deep Neural NetworksKachi Odoemene
6th place solution to 2018 Army Signal Classification Challenge.
Radio Signal Modulation Recognition.
Competition hosted by Army Rapid Capabilities Office and MITRE.
These are the slides for the presentation titled "Neural source-waveform model," given at ICASSP 2019 in Brighton, UK.
Presenter: Xin Wang, National Institute of Informatics, Japan
Sampling is a Simple method to convert analog signal into discrete Signal by using any one of its three methods
if the sampling frequency is twice or greater than twice then sampled signal can be convert back into analog signal easily......
The discrete Fourier transform has many applications in science and engineering. For example, it is often used in digital signal processing applications such as voice recognition and image processing.
Time-Frequency Representation of Microseismic Signals using the SSTUT Technology
Resonance frequencies could provide useful information on the deformation occurring during fracturing experiments or CO2 management, complementary to the microseismic events distribution. An accurate time-frequency representation is of crucial importance to interpret the cause of resonance frequencies during microseismic experiments. The popular methods of Short-Time Fourier Transform (STFT) and wavelet analysis have limitations in representing close frequencies and dealing with fast varying instantaneous frequencies and this is often the nature of microseismic signals. The synchrosqueezing transform (SST) is a promising tool to track these resonant frequencies and provide a detailed time-frequency representation. Here we apply the synchrosqueezing transform to microseismic signals and also show its potential to general seismic signal processing applications.
These are slides used for invited tutorial on "end-to-end text-to-speech synthesis", given at IEICE SP workshop held on 27th Jan 2019.
Part 1: Neural waveform modeling
Presenters: Xin Wang, Yusuke Yasuda (National Institute of Informatics, Japan)
Prior distribution design for music bleeding-sound reduction based on nonnega...Kitamura Laboratory
Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Prior distribution design for music bleeding-sound reduction based on nonnegative matrix factorization," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), pp. 651–658, Tokyo, Japan, December 2021.
Radio Signal Classification with Deep Neural NetworksKachi Odoemene
6th place solution to 2018 Army Signal Classification Challenge.
Radio Signal Modulation Recognition.
Competition hosted by Army Rapid Capabilities Office and MITRE.
Online divergence switching for superresolution-based nonnegative matrix fact...Daichi Kitamura
Presented at 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2014) (international conference)
Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo, Hirokazu Kameoka, "Online divergence switching for superresolution-based nonnegative matrix factorization," Proceedings of 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2014), pp.485-488, Hawaii, USA, March 2014 (Student Paper Award).
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
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.
2. Auditory Model
• Overview – two stage processing
• Model description and formulation
• Examples of representations
• Reconstruction from model output
representations
• Discussions
Spectral
Estimation
Early Auditory
Spectral
Analysis
Primary Cortex (A1)
Sound
Auditory
Spectrum
Cortical
Representation
3. Auditory Model
Overview
• Temporal dynamics
reduction
• Monaural model
• Two stage functional
model
– Early stage
(spectrum estimation)
– Cortical stage
(spectrum analysis)
5. Early Stage MATLAB Implementation
Matlab ToolBox Usage:
yfinal = wav2aud(s, [frmlen, tc, fac, shft], filt);
s : acoustic input signal
yfinal: auditory spectrogram; N(time) x M(freq.)
CF = 440 * 2 .^ ((-31:97)/24 + shft);
6. Cortical stage
Spectrotemporal Receptive Field
4
0.125
4
0.125
4
0.125
4
0.125
4 4
0.125
C
Frequency(kHz)Frequency(kHz)
Frequency(kHz)
Frequency(kHz)
Frequency(kHz)Frequency(kHz)
Time (ms) Time (ms) Time (ms)
Time (ms) Time (ms) Time (ms)
250 250 250
250250250
0 0 0
000
0.125
D E F
BA