Description
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
Table of Contents
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
