TY - BOOK ID - 64116560 TI - Automatic Speech Recognition : A Deep Learning Approach AU - Yu, Dong. AU - Deng, Li. PY - 2015 SN - 1447157796 1447157788 PB - London : Springer London : Imprint: Springer, DB - UniCat KW - Acoustics in engineering. KW - Social sciences KW - Signal, Image and Speech Processing. KW - Engineering Acoustics. KW - Computer Appl. in Social and Behavioral Sciences. KW - Data processing. KW - Automatic speech recognition. KW - Markov processes KW - Mathematical models. KW - Analysis, Markov KW - Chains, Markov KW - Markoff processes KW - Markov analysis KW - Markov chains KW - Markov models KW - Models, Markov KW - Processes, Markov KW - Stochastic processes KW - Mechanical speech recognizer KW - Speech recognition, Automatic KW - Pattern recognition systems KW - Perceptrons KW - Speech, Intelligibility of KW - Speech perception KW - Speech processing systems KW - Signal processing. KW - Image processing. KW - Speech processing systems. KW - Acoustical engineering. KW - Application software. KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Acoustic engineering KW - Sonic engineering KW - Sonics KW - Sound engineering KW - Sound-waves KW - Engineering KW - Computational linguistics KW - Electronic systems KW - Information theory KW - Modulation theory KW - Oral communication KW - Speech KW - Telecommunication KW - Singing voice synthesizers KW - Pictorial data processing KW - Picture processing KW - Processing, Image KW - Imaging systems KW - Optical data processing KW - Processing, Signal KW - Information measurement KW - Signal theory (Telecommunication) KW - Industrial applications UR - https://www.unicat.be/uniCat?func=search&query=sysid:64116560 AB - This 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. ER -