English | 2025 | PDF | 12 MB | 275 Pages
Xiao-Lei Zhang, 9780443248566, 978-0443248566, 0443248567, 0443248575, 9780443248573, 978-0443248573, B0DG5MKNP6, 978-0-443-24856-6
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
