000			01697 a2200181 4500
003			Nust
005			20221231155737.0
010			_a 96001588
040			_cNust
082			_a621.399,AUT
100			_aChin-Hui Lee _9106578
245			_aAutomatic Speech and Speaker Recognition _badvanced topics /
260			_aBoston _bKluwer academic publishers _c1996.
300			_a517p
505			_aAn 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).
650			_aAutomatic Speech and Speaker Recognition _9106579
942			_2ddc _cBK
999			_c194277 _d194277