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Improving recognition of proper nouns in ASR through generating and filtering phonetic transcriptionsLAURENT, Antoine; MEIGNIER, Sylvain; DELEGLISE, Paul et al.Computer speech & language (Print). 2014, Vol 28, Num 4, pp 979-996, issn 0885-2308, 18 p.Article

How should a speech recognizer work?SCHARENBORG, Odette; NORRIS, Dennis; TEN BOSCH, Louis et al.Cognitive science. 2005, Vol 29, Num 6, pp 867-918, issn 0364-0213, 52 p.Article

Use of explicit context-dependent phonemic model in continuous speech recognitionMouria, F; Gong, Y; Haton, J. P et al.1993, 5 p.Report

Dynamic time warp pattern matching using an integrated multiprocessing arrayWESTE, N; BURR, D. J; ACKLAND, B. D et al.IEEE transactions on computers. 1983, Vol 32, Num 8, pp 731-744, issn 0018-9340Article

Sistema Mayordomo: Uso de un Entorno de Inteligencia Ambiental a Través de un Sistema de Diálogo Multimodal = Mayordomo system: Using an Ambient Intelligence Environment Through a Multimodal Dialogue SystemESPEJO, G; ABALOS, N; LOPEZ-COZAR, R et al.Procesamiento del lenguaje natural. 2010, Num 45, pp 309-310, issn 1135-5948, 2 p.Article

Base transformation for environment adaptation in continuous speech recognitionGong, Yifan.1993, 5 p.Report

Sparse imputation for large vocabulary noise robust ASR = Imputation éparse pour une reconnaissance automatique de la parole robuste par rapport au bruit du vocabulaire largeFLORENT GEMMEKE, Jort; CRANEN, Bert; REMES, Ulpu et al.Computer speech & language (Print). 2011, Vol 25, Num 2, pp 462-479, issn 0885-2308, 18 p.Article

Efficient data selection for speech recognition based on prior confidence estimation using speech and monophone modelsKOBASHIKAWA, Satoshi; ASAMI, Taichi; YAMAGUCHI, Yoshikazu et al.Computer speech & language (Print). 2014, Vol 28, Num 6, pp 1287-1297, issn 0885-2308, 11 p.Article

An iterative longest matching segment approach to speech enhancement with additive noise and channel distortionJI MING; CROOKES, Danny.Computer speech & language (Print). 2014, Vol 28, Num 6, pp 1269-1286, issn 0885-2308, 18 p.Article

Efficient data selection for speech recognition based on prior confidence estimationKOBASHIKAWA, Satoshi; ASAMI, Taichi; YAMAGUCHI, Yoshikazu et al.Acoustical science and technology. 2011, Vol 32, Num 4, pp 151-153, issn 1346-3969, 3 p.Article

Speech Recognition Materials and Ceiling Effects : Considerations for Cochlear Implant ProgramsGIFFORD, René H; SHALLOP, Jon K; PETERSON, Anna Mary et al.Audiology & neuro-otology. 2008, Vol 13, Num 3, pp 193-205, issn 1420-3030, 13 p.Article

Automatic speech recognition performance in different room acoustic environments with and without dereverberation preprocessingTSILFIDIS, Alexandros; MPORAS, Iosif; MOURJOPOULOS, John et al.Computer speech & language (Print). 2013, Vol 27, Num 1, pp 380-395, issn 0885-2308, 16 p.Article

Cluster-based dynamic variance adaptation for interconnecting speech enhancement pre-processor and speech recognizerDELCROIX, Marc; WATANABE, Shinji; NAKATANI, Tomohiro et al.Computer speech & language (Print). 2013, Vol 27, Num 1, pp 350-368, issn 0885-2308, 19 p.Article

Semantic and phonetic automatic reconstruction of medical dictations = Reconstruction automatique de la sémantiques et la phonétique des dictées médicalesPETRIK, Stefan; DREXEL, Christina; FESSLER, Leo et al.Computer speech & language (Print). 2011, Vol 25, Num 2, pp 363-385, issn 0885-2308, 23 p.Article

Feature analysis for discriminative confidence estimation in spoken term detection : Spoken Content RetrievalTEJEDOR, Javier; TOLEDANO, Doroteo T; DONG WANG et al.Computer speech & language (Print). 2014, Vol 28, Num 5, pp 1083-1114, issn 0885-2308, 32 p.Article

Simultaneous translation of lectures and speechesFÜGEN, Christian; WAIBEL, Alex; KOLSS, Muntsin et al.Machine translation. 2007, Vol 21, Num 4, pp 209-252, issn 0922-6567, 44 p.Article

Robust speech recognition from binary masksNARAYANAN, Arun; DELIANG WANG.The Journal of the Acoustical Society of America. 2010, Vol 128, Num 5, issn 0001-4966, 3497358.1-3497358.6Article

Characteristics of speaking style and implications for speech recognitionSHINOZAKI, Takahiro; OSTENDORF, Mari; ATLAS, Les et al.The Journal of the Acoustical Society of America. 2009, Vol 126, Num 3, pp 1500-1510, issn 0001-4966, 11 p.Article

Longitudinal changes in speech recognition in older personsDUBNO, Judy R; LEE, Fu-Shing; MATTHEWS, Lois J et al.The Journal of the Acoustical Society of America. 2008, Vol 123, Num 1, pp 462-475, issn 0001-4966, 14 p.Article

Factors influencing recognition of interrupted speechXIN WANG; HUMES, Larry E.The Journal of the Acoustical Society of America. 2010, Vol 128, Num 4, pp 2100-2111, issn 0001-4966, 12 p., 1Article

Relative contributions of spectral and temporal cues for phoneme recognitionLI XU; THOMPSON, Catherine S; PFINGST, Bryan E et al.The Journal of the Acoustical Society of America. 2005, Vol 117, Num 5, pp 3255-3267, issn 0001-4966, 13 p.Article

Clustering of syntactic and discursive information for the dynamic adaptation of Language ModelsLUCAS, J. M; FERNANDEZ, F; LOPEZ, V et al.Procesamiento del lenguaje natural. 2010, Num 45, pp 175-182, issn 1135-5948, 8 p.Article

Search and access to information contained in the speech of multimedia resourcesVARONA, A; RODRIGUEZ-FUENTES, L. J; PENAGARIKANO, M et al.Procesamiento del lenguaje natural. 2010, Num 45, pp 317-318, issn 1135-5948, 2 p.Article

Speech Separation and Recognition Challenge = Séparation de la parole et défi de la reconnaissanceCOOKE, Martin; LEE, T.-W.Computer speech & language (Print). 2010, Vol 24, Num 1, issn 0885-2308, 112 p.Serial Issue

Validation of phonetic transcriptions in the context of automatic speech recognitionVAN BAEL, Christophe; VAN DEN HEUVEL, Henk; STRIK, Helmer et al.Language resources and evaluation. 2007, Vol 41, Num 2, pp 129-146, issn 1574-020X, 18 p.Article

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