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Applied Speech Processing

Applied Speech Processing
  • Author : Nilanjan Dey
  • Publsiher : Academic Press
  • Release : 01 February 2021
  • ISBN : 0128242132
  • Pages : 206 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKApplied Speech Processing

Summary:
Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and the use of video-conferencing in different application areas. The book provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques of intelligent speech signal processing methods and systems. It provides an outstanding foundation for undergraduate and post-graduate students as well. Includes basics of speech data analysis and management tools with several applications, highlighting recording systems Covers different techniques of big data and Internet-of-Things in speech signal processing, including machine learning and data mining Offers a multidisciplinary view of current and future challenges in this field, with extensive case studies on the design, implementation, development and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing


Applied Speech Processing

Applied Speech Processing
  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release : 01 February 2021
GET THIS BOOKApplied Speech Processing

Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and the use of video-conferencing in different application areas. The book provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques



Applied Signal Processing

Applied Signal Processing
  • Author : Thierry Dutoit,Ferran Marques
  • Publisher : Springer Science & Business Media
  • Release : 10 June 2010
GET THIS BOOKApplied Signal Processing

Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory



Applied Speech Technology

Applied Speech Technology
  • Author : Ann K. Syrdal,Raymond W. Bennett,Steven L. Greenspan
  • Publisher : CRC Press
  • Release : 18 October 1994
GET THIS BOOKApplied Speech Technology

Written by the world's top experts in the field, this multidisciplinary book explores all phases of speech technology. Topics covered include: Conversion of computerized (keyboarded) text into synthesized speech, aimed at developing "talking computers" Development of automatic speech recognition, allowing electronic devices to process verbal commands Speech training and the use of synthesized speech for the hearing- and speech-impaired In-depth discussions of specific speech technologies are included, as well as a treatment of the issues and challenges of human-computer interfaces.


Pattern Recognition in Speech and Language Processing

Pattern Recognition in Speech and Language Processing
  • Author : Wu Chou,Biing-Hwang Juang
  • Publisher : CRC Press
  • Release : 26 February 2003
GET THIS BOOKPattern Recognition in Speech and Language Processing

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Recognition in Speech and Language Processing offers a systematic, up-to-date presentation of these recent developments. It begins with the fundamentals and recent theoretical advances in pattern recognition, with emphasis on classifier design criteria


Applied Speech Processing

Applied Speech Processing
  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release : 01 February 2021
GET THIS BOOKApplied Speech Processing

Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and the use of video-conferencing in different application areas. The book provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques


Noise Reduction in Speech Applications

Noise Reduction in Speech Applications
  • Author : Gillian M. Davis
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOKNoise Reduction in Speech Applications

Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical. Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with


Audio Processing and Speech Recognition

Audio Processing and Speech Recognition
  • Author : Soumya Sen,Anjan Dutta,Nilanjan Dey
  • Publisher : Springer
  • Release : 30 January 2019
GET THIS BOOKAudio Processing and Speech Recognition

This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic


Intelligent Speech Signal Processing

Intelligent Speech Signal Processing
  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release : 27 March 2019
GET THIS BOOKIntelligent Speech Signal Processing

Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related


Applied Signal Processing

Applied Signal Processing
  • Author : Nadder Hamdy
  • Publisher : CRC Press
  • Release : 25 July 2008
GET THIS BOOKApplied Signal Processing

Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones. Applied Signal Processing recognizes the linkage between the two paradigms and presents a unified treatment of both subjects (analog and digital signal processing) in one authoritative volume. It introduces underlying principles, basic concepts, and definitions as well as classic and contemporary


Smartphone-Based Real-Time Digital Signal Processing

Smartphone-Based Real-Time Digital Signal Processing
  • Author : Nasser Kehtarnavaz,Shane Parris,Abhishek Sehgal
  • Publisher : Morgan & Claypool Publishers
  • Release : 01 August 2015
GET THIS BOOKSmartphone-Based Real-Time Digital Signal Processing

Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together with their supporting software. A number of textbooks have been written discussing how to achieve real-time implementation on



Handbook of Neural Network Signal Processing

Handbook of Neural Network Signal Processing
  • Author : Yu Hen Hu,Jenq-Neng Hwang
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOKHandbook of Neural Network Signal Processing

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech,