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Speech Signal Processing Based on Deep Learning Complex Acoustic Environments
Indigo
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Speech Signal Processing Based on Deep Learning Complex Acoustic Environments
By None
Current price: $209.59
Original price: $261.99


By None
Speech Signal Processing Based on Deep Learning Complex Acoustic Environments
Current price: $209.59
Original price: $261.99
Loading Inventory...
Size: Kobo eBook
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Indigo
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environmentsprovides 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
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environmentsprovides 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



















