New Era for Robust Speech Recognition Exploiting Deep Learning /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Watanabe, Shinji (Editor), Delcroix, Marc (Editor), Metze, Florian (Editor), Hershey, John R. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Subjects: Computer science.; Artificial intelligence.; Computational linguistics.; Linguistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Signal, Image and Speech Processing.; Language Translation and Linguistics.; Linguistics, general.

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 enhanceme...

Table of Contents:

• Speech and Language Processing
• Automatic Speech Recognition (ASR)
• Recent Applications
• Signal-Processing-Based Front-End for Robust ASR
• Generative Model-Based Speech Enhancement
• Denoising Autoencoder
• Discriminative Microphone Array Enhancement
• Learning Robust Feature Representation
• Training Data Augmentation
• Adaptation and Augmented Features
• Novel Model Topologies
• Novel Objective Criteria
• Benchmark Data, Tools, and Systems.