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MPE-based discriminative linear transforms for speaker adaptationLAN WANG; WOODLAND, Philip C.Computer speech & language (Print). 2008, Vol 22, Num 3, pp 256-272, issn 0885-2308, 17 p.Article

Speaker Adaptation in Sparse Subspace of Acoustic ModelsJEONG, Yongwon.IEICE transactions on information and systems. 2013, Vol 96, Num 6, pp 1402-1405, issn 0916-8532, 4 p.Article

A basis representation of constrained MLLR transforms for robust adaptationPOVEY, Daniel; YAO, Kaisheng.Computer speech & language (Print). 2012, Vol 26, Num 1, pp 35-51, issn 0885-2308, 17 p.Article

Improved automatic speech recognition through speaker normalizationGIULIANI, Diego; GEROSA, Matteo; BRUGNARA, Fabio et al.Computer speech & language (Print). 2006, Vol 20, Num 1, pp 107-123, issn 0885-2308, 17 p.Article

Language model adaptation based on PLSA of topics and speakers for automatic transcription of panel discussions : Corpus-Based Speech TechnologiesAKITA, Yuya; KAWAHARA, Tatsuya.IEICE transactions on information and systems. 2005, Vol 88, Num 3, pp 439-445, issn 0916-8532, 7 p.Article

Assessment of emerging reading skills in young native speakers and language learnersPRICE, Patti; TEPPERMAN, Joseph; ALWAN, Abeer et al.Speech communication (Print). 2009, Vol 51, Num 10, pp 968-984, issn 0167-6393, 17 p.Article

Maximum likelihood linear transformations for HMM-based speech recognition = Des transformations linéaires à probabilité maximum pour la reconnaissance de la parole basée sur le modèle de MarkovGALES, M. J. F.Computer speech & language (Print). 1998, Vol 12, Num 2, pp 75-98, issn 0885-2308Article

N-Best-based unsupervised speaker adaptation for speech recognition = Adaptation non contrôlée au locuteur à partir du meilleur N pour la reconnaissance de la paroleMATSUI, T; FURUI, S.Computer speech & language (Print). 1998, Vol 12, Num 1, pp 41-50, issn 0885-2308Article

Automatic selection of phonetically distributed sentence sets for speaker adaptation with application to large vocabulary Mandarin speech recognition = Sélection automatique d'ensembles de phrases distribués phonétiquement pour l'adaptation au locuteur et application à la reconnaissance de la parole en mandarin avec un très large vocabulaireSHEN, J.-L; WANG, H.-M; LYU, R.-Y et al.Computer speech & language (Print). 1999, Vol 13, Num 1, pp 79-97, issn 0885-2308Article

Combined Bayesian and predictive techniques for rapid speaker adaptation of continuous density hidden Markov models = Combinaison des techniques prédictive et bayesienne pour l'adaptation rapide au locuteur, des modèles cachés de Markov à densité continueAHADI, S. M; WOODLAND, P. C.Computer speech & language (Print). 1997, Vol 11, Num 3, pp 187-206, issn 0885-2308Article

Improving robustness of MLLR adaptation with speaker-clustered regression class treesMANDAL, Arindam; OSTENDORF, Mari; STOLCKE, Andreas et al.Computer speech & language (Print). 2009, Vol 23, Num 2, pp 176-199, issn 0885-2308, 24 p.Article

On maximum mutual information speaker-adapted trainingMCDONOUGH, John; WOLFEL, Matthias; STOIMENOV, Emilian et al.Computer speech & language (Print). 2008, Vol 22, Num 2, pp 130-147, issn 0885-2308, 18 p.Article

A speaker adaptation method for non-native speech using learners' native utterances for computer-assisted language learning systemsOHKAWA, Yuichi; SUZUKI, Motoyuki; OGASAWARA, Hirokazu et al.Speech communication (Print). 2009, Vol 51, Num 10, pp 875-882, issn 0167-6393, 8 p.Article

Speaker adaptation of language and prosodic models for automatic dialog act segmentation of speechKOLAR, Jáchym; YANG LIU; SHRIBERG, Elizabeth et al.Speech communication (Print). 2010, Vol 52, Num 3, pp 236-245, issn 0167-6393, 10 p.Article

Incremental MLLR speaker adaptation by fuzzy logic controlDING, Ing-Jr.Pattern recognition. 2007, Vol 40, Num 11, pp 3110-3119, issn 0031-3203, 10 p.Article

Linear hidden transformations for adaptation of hybrid ANN/HMM modelsGEMELLO, Roberto; MANA, Franco; SCANZIO, Stefano et al.Speech communication. 2007, Vol 49, Num 10-11, pp 827-835, issn 0167-6393, 9 p.Article

Robust speaker adaptation by weighted model averaging based on the minimum description length criterionXIAODONG CUI; ALWAN, Abeer.IEEE transactions on audio, speech, and language processing. 2007, Vol 15, Num 2, pp 652-660, issn 1558-7916, 9 p.Article

Speaker Adaptation Based on PARAFAC2 of Transformation Matrices for Continuous Speech RecognitionJEONG, Yongwon; LIM, Sangjun; KIM, Young Kuk et al.IEICE transactions on information and systems. 2013, Vol 96, Num 9, pp 2152-2155, issn 0916-8532, 4 p.Article

Active Learning Using Phone-Error Distribution for Speech ModelingMURAKAMI, Hiroko; SHINODA, Koichi; FURUI, Sadaoki et al.IEICE transactions on information and systems. 2012, Vol 95, Num 10, pp 2486-2494, issn 0916-8532, 9 p.Article

Unsupervised Speaker Adaptation Using Speaker-Class Models for Lecture Speech Recognition : Processing natural speech variability for improved verbal human-computer interactionKOSAKA, Tetsuo; TAKEDA, Yuui; ITO, Takashi et al.IEICE transactions on information and systems. 2010, Vol 93, Num 9, pp 2363-2369, issn 0916-8532, 7 p.Article

Improving rapid unsupervised speaker adaptation based on HMM-sufficient statistics in noisy environments using multi-template models : Statistical modeling for speech processingGOMEZ, Randy; LEE, Akinobu; TODA, Tomoki et al.IEICE transactions on information and systems. 2006, Vol 89, Num 3, pp 998-1005, issn 0916-8532, 8 p.Article

Bayesian Sensing Hidden Markov Models : Deep Learning for Speech and Language ProcessingSAON, George; CHIEN, Jen-Tzung.IEEE transactions on audio, speech, and language processing. 2012, Vol 20, Num 1, pp 43-54, issn 1558-7916, 12 p.Article

Eigenvoice modeling with sparse training dataKENNY, Patrick; BOULIANNE, Gilles; DUMOUCHEL, Pierre et al.IEEE transactions on speech and audio processing. 2005, Vol 13, Num 3, pp 345-354, issn 1063-6676, 10 p.Article

Speaker adaptation using an eigenphone basisKENNY, Patrick; BOULIANNE, Gilles; OUELLET, Pierre et al.IEEE transactions on speech and audio processing. 2004, Vol 12, Num 6, pp 579-589, issn 1063-6676, 11 p.Article