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020 _a9781447157793
024 7 _a10.1007/978-1-4471-5779-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
050 4 _aTK7895.S65 2015 EB
100 1 _aYu, Dong
_eautor
_9669769
245 1 0 _aAutomatic Speech Recognition
_bA Deep Learning Approach
_cby Dong Yu, Li Deng.
264 1 _aLondon
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XXVI, 321 páginas 62 ilustraciones)
490 0 _aSignals and Communication Technology
_x1860-4862
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 3 _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 7 _aReconocimiento automático del lenguaje
_2embne
_9147323
700 1 _aDeng, Li
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/nr95019504
_1http://viaf.org/viaf/56581612/
776 0 8 _iEdición impresa:
_z9781447157809
776 0 8 _iEdición impresa:
_z9781447157786
776 0 8 _iEdición impresa:
_z9781447169673
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4471-5779-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b06/2019
_dz
_ek
_feng
_ggw
_h0
999 _c103997
_d103997
_x1