Speech recognition - Unabridged Guide

Nonfiction, Reference & Language, Reference
Cover of the book Speech recognition - Unabridged Guide by Abbott Louis, Emereo Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Abbott Louis ISBN: 9781486430383
Publisher: Emereo Publishing Publication: October 24, 2012
Imprint: Emereo Publishing Language: English
Author: Abbott Louis
ISBN: 9781486430383
Publisher: Emereo Publishing
Publication: October 24, 2012
Imprint: Emereo Publishing
Language: English
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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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

More books from Emereo Publishing

Cover of the book Ice Cube 33 Success Facts - Everything you need to know about Ice Cube by Abbott Louis
Cover of the book The Gap Analysis Handbook - Everything You Need To Know About Gap Analysis by Abbott Louis
Cover of the book Social Capital - Simple Steps to Win, Insights and Opportunities for Maxing Out Success by Abbott Louis
Cover of the book Florence 285 Success Secrets - 285 Most Asked Questions On Florence - What You Need To Know by Abbott Louis
Cover of the book Gloria Stuart 96 Success Facts - Everything you need to know about Gloria Stuart by Abbott Louis
Cover of the book Governance, Risk and Compliance - Simple Steps to Win, Insights and Opportunities for Maxing Out Success by Abbott Louis
Cover of the book For the Honor of Randall A Story of College Athletics - The Original Classic Edition by Abbott Louis
Cover of the book Jealousy Greatest Quotes - Quick, Short, Medium Or Long Quotes. Find The Perfect Jealousy Quotations For All Occasions - Spicing Up Letters, Speeches, And Everyday Conversations. by Abbott Louis
Cover of the book social media tools - Simple Steps to Win, Insights and Opportunities for Maxing Out Success by Abbott Louis
Cover of the book Demand Greatest Quotes - Quick, Short, Medium Or Long Quotes. Find The Perfect Demand Quotations For All Occasions - Spicing Up Letters, Speeches, And Everyday Conversations. by Abbott Louis
Cover of the book Data Loss Prevention Complete Certification Kit - Study Book and eLearning Program by Abbott Louis
Cover of the book Braising Greats: Delicious Braising Recipes, The Top 99 Braising Recipes by Abbott Louis
Cover of the book Mark Spitz 69 Success Facts - Everything you need to know about Mark Spitz by Abbott Louis
Cover of the book Body mass index 112 Success Secrets - 112 Most Asked Questions On Body mass index - What You Need To Know by Abbott Louis
Cover of the book Webmaster 34 Success Secrets - 34 Most Asked Questions On Webmaster - What You Need To Know by Abbott Louis
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy