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Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

Zhang, Xiao-Lei
Heftet / 2024 / Engelsk

Produktdetaljer

ISBN
9780443248566
Publisert
2024-09-09
Utgiver
Elsevier - Health Sciences Division
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
280

Forfatter
Zhang, Xiao-Lei

Biografisk notat

Xiao-Lei Zhang received his Ph.D. degree with honors from Tsinghua University, China, in 2012. He was a postdoctoral researcher with the Department of Electronic Engineering at Tsinghua University from 2012 to 2014. He was a visiting scholar at The Ohio State University, USA, from 2013 to 2014 and a postdoctoral researcher with the Department of Computer Science and Engineering, The Ohio State University, from 2014 to 2016. Since 2016 he has been a full professor at the Northwestern Polytechnical University, Xi'an, China. His research interests are the topics in speech processing, machine learning, statistical signal processing, and artificial intelligence.

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

Zhang, Xiao-Lei
Heftet / 2024 / Engelsk
Zhang, Xiao-Lei
Heftet / 2024 / Engelsk
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Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by looking at the basics of deep learning and common deep network models, followed by front-end algorithms for deep learning-based speech denoising, speech detection, single-channel speech enhancement multi-channel speech enhancement, multi-speaker speech separation, and the applications of deep learning-based speech denoising in speaker verification and speech recognition.
Les mer
1. Introduction 2. Fundamentals of Deep Learning 3. Voice Activity Detection 4. Single-Channel Speech Enhancement 5. Multi-Channel Speech Enhancement 6. Multi-Speaker Speech Separation 7. Speaker Recognition 8. Speech Recognition
Les mer
Covers the most recent rapid technology development of speech processing based on deep learning
Provides a comprehensive introduction to the development of deep learning-based robust speech processing Covers speech detection, speech enhancement, dereverberation, multi-speaker speech separation, robust speaker verification, and robust speech recognition Focuses on a historical overview and then covers methods that demonstrate outstanding performance in practical applications
Les mer

Relaterte produkter

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by looking at the basics of deep learning and common deep network models, followed by front-end algorithms for deep learning-based speech denoising, speech detection, single-channel speech enhancement multi-channel speech enhancement, multi-speaker speech separation, and the applications of deep learning-based speech denoising in speaker verification and speech recognition.
Les mer
1. Introduction 2. Fundamentals of Deep Learning 3. Voice Activity Detection 4. Single-Channel Speech Enhancement 5. Multi-Channel Speech Enhancement 6. Multi-Speaker Speech Separation 7. Speaker Recognition 8. Speech Recognition
Les mer
Covers the most recent rapid technology development of speech processing based on deep learning
Provides a comprehensive introduction to the development of deep learning-based robust speech processing Covers speech detection, speech enhancement, dereverberation, multi-speaker speech separation, robust speaker verification, and robust speech recognition Focuses on a historical overview and then covers methods that demonstrate outstanding performance in practical applications
Les mer

Produktdetaljer

ISBN
9780443248566
Publisert
2024-09-09
Utgiver
Elsevier - Health Sciences Division
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
280

Forfatter
Zhang, Xiao-Lei

Biografisk notat

Xiao-Lei Zhang received his Ph.D. degree with honors from Tsinghua University, China, in 2012. He was a postdoctoral researcher with the Department of Electronic Engineering at Tsinghua University from 2012 to 2014. He was a visiting scholar at The Ohio State University, USA, from 2013 to 2014 and a postdoctoral researcher with the Department of Computer Science and Engineering, The Ohio State University, from 2014 to 2016. Since 2016 he has been a full professor at the Northwestern Polytechnical University, Xi'an, China. His research interests are the topics in speech processing, machine learning, statistical signal processing, and artificial intelligence.

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