
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments
- 400 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments
About this book
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
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Chapter 1: Introduction of the book
- Chapter 2: Fundamentals of deep learning
- Chapter 3: Voice activity detection
- Chapter 4: Single-channel speech enhancement
- Chapter 5: Multichannel speech enhancement
- Chapter 6: Multispeaker speech separation
- Chapter 7: Speaker recognition
- Chapter 8: Speech recognition
- References
- Index