The Speech Recognition Reference Manual And Buyer S Guide
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The Speech Recognition Reference Manual And Buyer S Guide
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Author : Marc Robins
language : en
Publisher:
Release Date : 1992
The Speech Recognition Reference Manual And Buyer S Guide written by Marc Robins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Automatic speech recognition categories.
Speech Recognition Reference Manual And Buyer S Guide
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Author : Marc Robins
language : en
Publisher:
Release Date : 1996-04-01
Speech Recognition Reference Manual And Buyer S Guide written by Marc Robins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-01 with categories.
The Voice Response Reference Manual And Buyer S Guide
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Author : Marc Robins
language : en
Publisher:
Release Date : 1996-04-01
The Voice Response Reference Manual And Buyer S Guide written by Marc Robins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-01 with Automatic speech recognition categories.
Official Reference Book And Buyers Guide
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Author :
language : en
Publisher:
Release Date : 1986
Official Reference Book And Buyers Guide written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Engineering design categories.
Speech Recognition Unabridged Guide
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Author : Louis Abbott
language : en
Publisher: Tebbo
Release Date : 2012-09-01
Speech Recognition Unabridged Guide written by Louis Abbott and has been published by Tebbo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-01 with Reference categories.
Complete, Unabridged Guide to Speech recognition. Get the information you need--fast! This comprehensive guide offers a thorough view of key knowledge and detailed insight. It's all you need. Here's part of the content - you would like to know it all? Delve into this book today!..... : Speech recognition applications include voice user interfaces such as voice dialing (e. g. , Call home), call routing (e. g. , I would like to make a collect call), domotic appliance control, search (e. g. , find a podcast where particular words were spoken), simple data entry (e. g. , entering a credit card number), preparation of structured documents (e. g. , a radiology report), speech-to-text processing (e. g. , word processors or emails), and aircraft (usually termed Direct Voice Input). ...Each word, or (for more general speech recognition systems), each phoneme, will have a different output distribution; a hidden Markov model for a sequence of words or phonemes is made by concatenating the individual trained hidden Markov models for the separate words and phonemes. ...A typical large-vocabulary system would need context dependency for the phonemes (so phonemes with different left and right context have different realizations as HMM states); it would use cepstral normalization to normalize for different speaker and recording conditions; for further speaker normalization it might use vocal tract length normalization (VTLN) for male-female normalization and maximum likelihood linear regression (MLLR) for more general speaker adaptation. ... Decoding of the speech (the term for what happens when the system is presented with a new utterance and must compute the most likely source sentence) would probably use the Viterbi algorithm to find the best path, and here there is a choice between dynamically creating a combination hidden Markov model, which includes both the acoustic and language model information, and combining it statically beforehand (the finite state transducer, or FST, approach). There is absolutely nothing that isn't thoroughly covered in the book. It is straightforward, and does an excellent job of explaining all about Speech recognition in key topics and material. There is no reason to invest in any other materials to learn about Speech recognition. You'll understand it all. Inside the Guide: Speech recognition, Xuedong Huang, Word error rate, Windows Speech Recognition, VoxForge, Voice user interface, Voice recognition, VoiceXML, Viterbi algorithm, Transcription (linguistics), Technological singularity, Speech verification, Speech technology, Speech synthesis, Speech recognition in Linux, Speech processing, Speech perception, Speech interface guideline, Speech corpus, Speech analytics, Speech-to-text reporter, Speaker recognition, Speaker diarisation, Sensory, Inc., Robotics, Robot Interaction Language, Real time factor, Phonetic search technology, Outline of technology, Outline of artificial intelligence, Nuance Communications, Natural language processing, Multimodal interaction, Multimedia Information Retrieval, Microphone, Mars Polar Lander, Manfred R. Schroeder, Machine learning, LumenVox, Lifeline (video game), Lawrence Rabiner, Language model, Kinect, Keyword spotting, Jott, Interactive voice response, Hidden Markov model, Hands-free computing, HTK (software), Eurofighter Typhoon, Dynamic time warping, Digital dictation, DARPA, Constructed language, Computer engineering, Computational finance, Carnegie Mellon University, Cache language model, Audio mining, Audio-visual speech recognition, Artificial intelligence, Articulatory speech recognition, Applications of artificial intelligence, Andrew Sears, Acoustic model
Speech Recognition
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Author : Peter Foster
language : en
Publisher: Cmp Books
Release Date : 1993-01-01
Speech Recognition written by Peter Foster and has been published by Cmp Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-01-01 with Automatic speech recognition categories.
How To Build A Speech Recognition Application
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Author : Bruce Balentine
language : en
Publisher:
Release Date : 1999
How To Build A Speech Recognition Application written by Bruce Balentine and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Automatic speech recognition categories.
Handbook Of Standards And Resources For Spoken Language Systems
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Author : Dafydd Gibbon
language : en
Publisher: Walter de Gruyter
Release Date : 1997
Handbook Of Standards And Resources For Spoken Language Systems written by Dafydd Gibbon and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
Springer Handbook Of Speech Processing
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Author : Jacob Benesty
language : en
Publisher: Springer
Release Date : 2007-11-22
Springer Handbook Of Speech Processing written by Jacob Benesty and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-22 with Technology & Engineering categories.
This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.
Automatic Speech And Speaker Recognition
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Author : Chin-Hui Lee
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Automatic Speech And Speaker Recognition written by Chin-Hui Lee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance. Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization. Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.