New Era for Robust Speech Recognition
Springer International Publishing (Verlag)
978-3-319-64679-4 (ISBN)
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.
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.
Erscheinungsdatum | 23.11.2017 |
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Zusatzinfo | XVII, 436 p. 76 illus., 26 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 842 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Acoustic Model Adaptation • Artificial Intelligence • artificial intelligence (incl. robotics) • Automatic speech recognition (ASR) • Computer Science • Deep learning • Distant Speech • Imaging Systems & Technology • Imaging Systems & Technology • Language: history & general works • Language: history & general works • language translation and linguistics • Linguistics, general • Natural language & machine translation • Natural language & machine translation • Natural Language Processing (NLP) • neural networks (NNs) • Noise robustness • Robotics • Signal, Image and Speech Processing • Signal Processing • Speech processing • Speech Recognition |
ISBN-10 | 3-319-64679-6 / 3319646796 |
ISBN-13 | 978-3-319-64679-4 / 9783319646794 |
Zustand | Neuware |
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