Automatic Speech Recognition
Springer London Ltd (Verlag)
978-1-4471-6967-3 (ISBN)
Section 1: Automatic speech recognition: Background.- Feature extraction: basic frontend.- Acoustic model: Gaussian mixture hidden Markov model.- Language model: stochastic N-gram.- Historical reviews of speech recognition research: 1st, 2nd, 3rd, 3.5th, and 4th generations.- Section 2: Advanced feature extraction and transformation.- Unsupervised feature extraction.- Discriminative feature transformation.- Section 3: Advanced acoustic modeling.- Conditional random field (CRF) and hidden conditional random field (HCRF).- Deep-Structured CRF.- Semi-Markov conditional random field.- Deep stacking models.- Deep neural network – hidden Markov hybrid model.- Section 4: Advanced language modeling.- Discriminative Language model.- Log-linear language model.- Neural network language model.
| Erscheinungsdatum | 22.09.2016 |
|---|---|
| Reihe/Serie | Signals and Communication Technology |
| Zusatzinfo | 62 Illustrations, black and white; XXVI, 321 p. 62 illus. |
| Verlagsort | England |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Sozialwissenschaften | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Adaptive Training • Automatic speech recognition • Computational Network • Deep Generative Model • Deep learning • Deep Neural Network • Distributed Representation • Full-Sequence Training • Hidden Markov Model • LSTM • Recurrent Neural Network • transfer learning |
| ISBN-10 | 1-4471-6967-0 / 1447169670 |
| ISBN-13 | 978-1-4471-6967-3 / 9781447169673 |
| Zustand | Neuware |
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