LEADER 07862nam 2200673 a 450 001 9911018886603321 005 20200520144314.0 010 $a9786612349416 010 $a9781282349414 010 $a1282349414 010 $a9780470742044 010 $a0470742046 010 $a9780470742037 010 $a0470742038 024 7 $a10.1002/9780470742044 035 $a(CKB)1000000000748084 035 $a(EBL)437445 035 $a(SSID)ssj0000107960 035 $a(PQKBManifestationID)11108958 035 $a(PQKBTitleCode)TC0000107960 035 $a(PQKBWorkID)10016221 035 $a(PQKB)11029109 035 $a(MiAaPQ)EBC437445 035 $a(CaBNVSL)mat08040180 035 $a(IDAMS)0b00006485f0e68e 035 $a(IEEE)8040180 035 $a(PPN)15178289X 035 $a(OCoLC)352839627 035 $a(Perlego)2751846 035 $a(EXLCZ)991000000000748084 100 $a20080829d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAutomatic speech and speaker recognition $elarge margin and kernel methods /$f[edited by] Joseph Keshet, Samy Bengio 210 $aChichester, U.K. ;$aHoboken, NJ $cJ. Wiley & Sons$d2009 215 $a1 online resource (271 p.) 300 $aDescription based upon print version of record. 311 08$a9780470696835 311 08$a0470696834 320 $aIncludes bibliographical references and index. 327 $aList of Contributors -- Preface -- I Foundations -- 1 Introduction (Samy Bengio and Joseph Keshet) -- 1.1 The Traditional Approach to Speech Processing -- 1.2 Potential Problems of the Probabilistic Approach -- 1.3 Support Vector Machines for Binary Classification -- 1.4 Outline -- References -- 2 Theory and Practice of Support Vector Machines Optimization (Shai Shalev-Shwartz and Nathan Srebo) -- 2.1 Introduction -- 2.2 SVM and L2-regularized Linear Prediction -- 2.3 Optimization Accuracy From a Machine Learning Perspective -- 2.4 Stochastic Gradient Descent -- 2.5 Dual Decomposition Methods -- 2.6 Summary -- References -- 3 From Binary Classification to Categorial Prediction (Koby Crammer) -- 3.1 Multi-category Problems -- 3.2 Hypothesis Class -- 3.3 Loss Functions -- 3.4 Hinge Loss Functions -- 3.5 A Generalized Perceptron Algorithm -- 3.6 A Generalized Passive / Aggressive Algorithm -- 3.7 A Batch Formulation -- 3.8 Concluding Remarks -- 3.9 Appendix. Derivations of the Duals of the Passive / Aggressive Algorithm and the Batch Formulation -- References -- II Acoustic Modeling -- 4 A Large Margin Algorithm for Forced Alignment (Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer and Dan Chazan) -- 4.1 Introduction -- 4.2 Problem Setting -- 4.3 Cost and Risk -- 4.4 A Large Margin Approach for Forced Alignment -- 4.5 An Iterative Algorithm -- 4.6 Efficient Evaluation of the Alignment Function -- 4.7 Base Alignment Functions -- 4.8 Experimental Results -- 4.9 Discussion -- References -- 5 A Kernel Wrapper for Phoneme Sequence Recognition (Joseph Keshet and Dan Chazan) -- 5.1 Introduction -- 5.2 Problem Setting -- 5.3 Frame-based Phoneme Classifier -- 5.4 Kernel-based Iterative Algorithm for Phoneme Recognition -- 5.5 Nonlinear Feature Functions -- 5.6 Preliminary Experimental Results -- 5.7 Discussion: Canwe Hope for Better Results? -- References -- 6 Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models (Mark J. F. Gales) -- 6.1 Introduction -- 6.2 Temporal Correlation Modeling. 327 $a6.3 Dynamic Kernels -- 6.4 Augmented Statistical Models -- 6.5 Experimental Results -- 6.6 Conclusions -- Acknowledgements -- References -- 7 Large Margin Training of Continuous Density Hidden Markov Models (Fei Sha and Lawrence K. Saul) -- 7.1 Introduction -- 7.2 Background -- 7.3 Large Margin Training -- 7.4 Experimental Results -- 7.5 Conclusion -- References -- III Language Modeling -- 8 A Survey of Discriminative Language Modeling Approaches for Large Vocabulary Continuous Speech Recognition (Brian Roark) -- 8.1 Introduction -- 8.2 General Framework -- 8.3 Further Developments -- 8.4 Summary and Discussion -- References -- 9 Large Margin Methods for Part-of-Speech Tagging (Yasemin Altun) -- 9.1 Introduction -- 9.2 Modeling Sequence Labeling -- 9.3 Sequence Boosting -- 9.4 Hidden Markov Support Vector Machines -- 9.5 Experiments -- 9.6 Discussion -- References -- 10 A Proposal for a Kernel Based Algorithm for Large Vocabulary Continuous Speech Recognition (Joseph Keshet) -- 10.1 Introduction -- 10.2 Segment Models and Hidden Markov Models -- 10.3 Kernel Based Model -- 10.4 Large Margin Training -- 10.5 Implementation Details -- 10.6 Discussion -- Acknowledgements -- References -- IV Applications -- 11 Discriminative Keyword Spotting (David Grangier, Joseph Keshet and Samy Bengio) -- 11.1 Introduction -- 11.2 Previous Work -- 11.3 Discriminative Keyword Spotting -- 11.4 Experiments and Results -- 11.5 Conclusions -- Acknowledgements -- References -- 12 Kernel-based Text-independent Speaker Verification (Johnny Marie?thoz, Samy Bengio and Yves Grandvalet) -- 12.1 Introduction -- 12.2 Generative Approaches -- 12.3 Discriminative Approaches -- 12.4 Benchmarking Methodology -- 12.5 Kernels for Speaker Verification -- 12.6 Parameter Sharing -- 12.7 Is the Margin Useful for This Problem? -- 12.8 Comparing all Methods -- 12.9 Conclusion -- References -- 13 Spectral Clustering for Speech Separation (Francis R. Bach and Michael I. Jordan) -- 13.1 Introduction -- 13.2 Spectral Clustering and Normalized Cuts. 327 $a13.3 Cost Functions for Learning the Similarity Matrix -- 13.4 Algorithms for Learning the Similarity Matrix -- 13.5 Speech Separation as Spectrogram Segmentation -- 13.6 Spectral Clustering for Speech Separation -- 13.7 Conclusions -- References -- Index. 330 $aThis book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: . Provides an up-to-date snapshot of the current state of research in this field . Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications . Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling . Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging . Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms . Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields. 606 $aAutomatic speech recognition 615 0$aAutomatic speech recognition. 676 $a006.4/54 701 $aKeshet$b Joseph$01688708 701 $aBengio$b Samy$01688709 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911018886603321 996 $aAutomatic speech and speaker recognition$94063181 997 $aUNINA LEADER 01672nam0 22003973i 450 001 RAVE012195 005 20251003044332.0 012 $anoie c-i- lele tomo (3) 1793 (R)$2fei 100 $a20140910d1793 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 183 1$6z01$anc$2RDAcarrier 200 1 $aˆL'‰uomo libero ossia ragionamento sulla libertà naturale e civile dell'uomo 205 $aEdizione terza veneta dopo la seconda di Milano, riscontrata, corretta, ed accresciuta sull'originale dell'autore 210 $aIn Venezia$cpresso Silvestro Gatti$d1793 215 $a224 p.$d12º 300 $aDi Gian Rinaldo Carli 300 $aVignetta xil. sul front 300 $aSegn.: A-H12 I16. 316 $a1 v.$5IT-BN0095 , ANT FONDO RARI 88 620 $aIT$dVenezia$3SBLL003553 700 1$aCarli$b, Gian Rinaldo$3VEAV010713$4070$0135157 712 02$aGatti, Silvestro$3RAVV103276$4650 790 1$aCarli$b, Giovanni Rinaldo$f <1720-1795>$3CFIV199713$zCarli, Gian Rinaldo 790 1$aCarli-Rubbi$b, Gianrinaldo$3RMGV011080$zCarli, Gian Rinaldo 790 1$aCarli$b, Gianrinaldo$3VEAV020573$zCarli, Gian Rinaldo 801 3$aIT$bIT-000000$c20140910 850 $aIT-BN0095 901 $bNAP 01$cANT $n$ 912 $aRAVE012195 950 0$aBiblioteca Centralizzata di Ateneo$c1 esemplare$d 01ANT FONDO RARI 88$e 01AR 0070029145 VMB 1 v.$fB $h19921014$i20230531 977 $a 01 996 $aUomo libero ossia ragionamento sulla libertà naturale e civile dell'uomo$93364870 997 $aUNISANNIO