Automatic speech recognition.
Material type:
TextPublisher: New York : Springer, 2014Description: pages cmContent type: - text
- unmediated
- volume
- 9781447157786
- 006.454 YUD;1
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Stack text books | All India Institute of Speech and Hearing | R-1/5 | 006.454 YUD (Browse shelf(Opens below)) | Available | 20421 | |||||||||||||
| Stack text books | All India Institute of Speech and Hearing | 4/2 | 006.454 YUD;1 (Browse shelf(Opens below)) | Available | 20422 |
Browsing All India Institute of Speech and Hearing shelves,Collection: R-1/5 Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 006.454 WAT C Bayesian speech and language processing / | 006.454 WOLM Distant speech recognition / | 006.454 XIN Q.10 Mathematical modeling and signal processing in speech and hearing sciences / | 006.454 YUD Automatic speech recognition. | 006.454042 SCH Multilingual speech processing / | 006.454042 SCH Multilingual speech processing / | 006.54 HAR C Techniques in speech acoustics / |
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.
There are no comments on this title.