Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

AvXiao-Lei Zhang

Häftad, Engelska, 2024

1 996 kr

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Beskrivning

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.

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

Produktinformation

Utgivningsdatum:2024-09-09
Mått:152 x 229 x 15 mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:280
Förlag:Elsevier Science
ISBN:9780443248566

Utforska kategorier

Artificiell intelligens inom Data och IT

Mer om författaren

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.

Innehållsförteckning

1. Introduction2. Fundamentals of Deep Learning3. Voice Activity Detection4. Single-Channel Speech Enhancement5. Multi-Channel Speech Enhancement6. Multi-Speaker Speech Separation7. Speaker Recognition8. Speech Recognition