000 | 03052nam a22005415i 4500 | ||
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001 | 978-1-4471-5779-3 | ||
003 | DE-He213 | ||
005 | 20200420221250.0 | ||
007 | cr nn 008mamaa | ||
008 | 141111s2015 xxk| s |||| 0|eng d | ||
020 |
_a9781447157793 _9978-1-4471-5779-3 |
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024 | 7 |
_a10.1007/978-1-4471-5779-3 _2doi |
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050 | 4 | _aTK5102.9 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.S65 | |
072 | 7 |
_aTTBM _2bicssc |
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072 | 7 |
_aUYS _2bicssc |
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072 | 7 |
_aTEC008000 _2bisacsh |
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072 | 7 |
_aCOM073000 _2bisacsh |
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082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aYu, Dong. _eauthor. |
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245 | 1 | 0 |
_aAutomatic Speech Recognition _h[electronic resource] : _bA Deep Learning Approach / _cby Dong Yu, Li Deng. |
264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2015. |
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300 |
_aXXVI, 321 p. 62 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSignals and Communication Technology, _x1860-4862 |
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505 | 0 | _aSection 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. | |
520 | _aThis book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aAcoustical engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aEngineering Acoustics. |
650 | 2 | 4 | _aComputer Appl. in Social and Behavioral Sciences. |
700 | 1 |
_aDeng, Li. _eauthor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781447157786 |
830 | 0 |
_aSignals and Communication Technology, _x1860-4862 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4471-5779-3 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c52541 _d52541 |