Automatic speech recognition : a deep learning approach / Dong Yu, Li Deng.
Tipo de material:
TextoSeries Signals and Communication TechnologyEditor: London : Springer London : Springer, 2015Descripción: xxvi, 321 páginas : 62 ilustracionesTipo de contenido: - texto
- computadora
- recurso en línea
- 9781447157793
- TK5102.9
Springer eBooks
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.
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