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 enhanceme...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.