New Era for Robust Speech Recognition: Exploiting Deep Learning

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field.

This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

本書涵蓋了基於深度神經網絡的方法在遠距離語音識別應用中的最新技術。它提供了對該領域中一些新概念和關鍵技術的深入洞察和詳細描述，包括語音增強的新型架構、麥克風陣列、強健特徵、聲學模型適應、訓練數據擴充和訓練標準。貢獻的章節還包括對該領域中廣泛使用的實際應用、基準工具和數據集的描述。

本書面向在語音處理和識別領域工作的研究人員和從業人員，他們對於噪聲響應的最新深度學習技術感興趣。對於電氣工程或計算機科學的研究生來說，本書也是一個有用的研究指南。