01848    a2200193   4500003000500000005001700005010001700022040000900039082001600048100002500064245006500089260004600154300000900200505122100209650005401430942001201484999001901496952013901515Nust20221231155737.0  a   96001588   cNust  a621.399,AUT  aChin-Hui Lee9106578  aAutomatic Speech and Speaker Recognition badvanced topics /  aBostonbKluwer academic publishersc1996.  a517p  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).  aAutomatic Speech and Speaker Recognition 9106579  2ddccBK  c194277d194277  00102ddc4070aMCSbMCScGENd2016-12-12l1o621.399,AUTpMCS5760r2022-10-10s2022-09-28w2016-12-12yBKzAlmirah No.40, Shelf No.6