Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

Name: Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments
Brand: Elsevier Science
SKU: 9780443248566
Price: 4491 CZK
Availability: InStock

Autor: Xiao-Lei Zhang

Jazyk:

Vazba: Brožovaná

Vydavatel: Elsevier Science

Dostupnost: U nakladatele na objednávku

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4 491 Kč

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed...

Informace o knize

Autor

Xiao-Lei Zhang

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2024

Stránek

400

EAN

9780443248566

ISBN

0443248567

Enbook ID

45918700

Vydavatel

Elsevier Science

Hmotnost

450

Rozměry

152 x 229

Kompletní popis

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. It 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. The book particularly emphasizes modern deep learning-based techniques for speaker verification and speech recognition, including their foundations and cutting-edge technologies. Provides a comprehensive introduction to the development of deep learning-based robust speech processing. Specifically, it covers speech detection, speech enhancement, dereverberation, multi-speaker speech separation, robust speaker verification, and robust speech recognitionFirst focuses on a historical overview, and then covers methods that demonstrate outstanding performance in practical applications, enabling readers to quickly familiarize themselves with the main technologies in this field

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