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Book synopsis

This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and provides an in-depth analysis of the suitability of different deep learning architectures for this task. The author then shows how the resulting model outperforms traditional speech quality models and provides additional information about the cause of a quality impairment through the prediction of the speech quality dimensions of noisiness, coloration, discontinuity, and loudness.

Book details

Book category Books in English Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Full title: Deep Learning Based Speech Quality Prediction
• Author: Gabriel Mittag
• Language: English
• Binding: Hardback
• Number of pages: 165
• EAN: 9783030914783
• ID: 38504258
• Publisher: Springer Nature Switzerland AG
• Weight: 442 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 25. February 2022

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