Automatic Speech and Speaker Recognition advanced topics /

By: Chin-Hui LeePublisher: Boston Kluwer academic publishers 1996Description: 517pSubject(s): Automatic Speech and Speaker RecognitionDDC classification: 621.399,AUT
Contents:
An Overview of Automatic Speech Recognition (Page-1), An Overview of Speaker Recognition Technology (Page-31), Maximum Mutual Information Estimation of Hidden Markov Models(Page-83), Statistical and Discriminative Methods for Speech Recognition (Page-109), Context Dependent Vector Quantization for Speech Recognition (Page-133), Hidden Markov Network for Precise Acoustic Modeling (Page-159), From HMMS To Segment Models : Stochastic Modeling for CSR(Page-211), The Use of Recurrent Networks in Continuous Speech Recognition (Page-233), Hybrid Connections Models for Continuous Speech Recognition (Page-285), World Spotting Extracting Partial Information from Continuous Utterances (Page-303), Spectral Dynamic for Speech Recognition under Adverse Conditions (Page-331), Single Processing for Robust Speech Recognition (Page-357), Dynamic Programming Search: From Digit Strings to Large Vocabulary World Graphs (Page-385), Fast Matching Techniques (Page-413), Multiple Pass Search Vocabulary (Page-429), Issues in Practical Large Vocabulary Isolated World Recognition : The IBM Isolated World Recognition The IBM Tagore Systems (Page-457), From Sphinx –II to Whisper Making Speech Recognition Usable (Page-481).
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Item type Current location Home library Shelving location Call number URL Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 621.399,AUT (Browse shelf) Link to resource Available Almirah No.40, Shelf No.6 MCS5760
Total holds: 0

An Overview of Automatic Speech Recognition (Page-1), An Overview of Speaker Recognition Technology (Page-31), Maximum Mutual Information Estimation of Hidden Markov Models(Page-83), Statistical and Discriminative Methods for Speech Recognition (Page-109), Context Dependent Vector Quantization for Speech Recognition (Page-133), Hidden Markov Network for Precise Acoustic Modeling (Page-159), From HMMS To Segment Models : Stochastic Modeling for CSR(Page-211), The Use of Recurrent Networks in Continuous Speech Recognition (Page-233), Hybrid Connections Models for Continuous Speech Recognition (Page-285), World Spotting Extracting Partial Information from Continuous Utterances (Page-303), Spectral Dynamic for Speech Recognition under Adverse Conditions (Page-331), Single Processing for Robust Speech Recognition (Page-357), Dynamic Programming Search: From Digit Strings to Large Vocabulary World Graphs (Page-385), Fast Matching Techniques (Page-413), Multiple Pass Search Vocabulary (Page-429), Issues in Practical Large Vocabulary Isolated World Recognition : The IBM Isolated World Recognition The IBM Tagore Systems (Page-457), From Sphinx –II to Whisper Making Speech Recognition Usable (Page-481).

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