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Více informací o knize Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

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Anotace knihy

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

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments
• Autor: Xiao-Lei Zhang
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 400
• EAN: 9780443248566
• ISBN: 0443248567
• ID: 45918700
• Rozměry: 229 × 152 mm
• Datum vydání: 01. November 2024

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