Audio Processing and Speech Recognition

Concepts, Techniques and Research Overviews

Nonfiction, Computers, Advanced Computing, Programming, User Interfaces, Science & Nature, Technology, Electronics
Cover of the book Audio Processing and Speech Recognition by Soumya Sen, Anjan Dutta, Nilanjan Dey, Springer Singapore
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Author: Soumya Sen, Anjan Dutta, Nilanjan Dey ISBN: 9789811360985
Publisher: Springer Singapore Publication: January 30, 2019
Imprint: Springer Language: English
Author: Soumya Sen, Anjan Dutta, Nilanjan Dey
ISBN: 9789811360985
Publisher: Springer Singapore
Publication: January 30, 2019
Imprint: Springer
Language: English

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 speech recognition (ASR) system. 

 

Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification. 

 

By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 speech recognition (ASR) system. 

 

Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification. 

 

By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.

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