Speech recognition

Results: 3329



#Item
51ISM@FIRE-2014: Named Entity Recognition Indian Languages Shantanu Dubey, Bharti Goel, Dinesh Kumar Prabhakar and Sukomal Pal Indian School of Mines, Dhanbad Jharkhand, India

ISM@FIRE-2014: Named Entity Recognition Indian Languages Shantanu Dubey, Bharti Goel, Dinesh Kumar Prabhakar and Sukomal Pal Indian School of Mines, Dhanbad Jharkhand, India

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Source URL: www.isical.ac.in

Language: English - Date: 2014-12-05 23:51:05
52MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1  Iain Murray1

MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1

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Source URL: www.cstr.inf.ed.ac.uk

Language: English - Date: 2015-09-29 11:06:25
53Windows 7 Speech Recognition Step by Step Guide Adaptive Computing Technology Center actcenter.missouri.edu  (

Windows 7 Speech Recognition Step by Step Guide Adaptive Computing Technology Center actcenter.missouri.edu  (

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Source URL: actcenter.missouri.edu

Language: English - Date: 2011-11-07 14:40:34
54Curriculum Vitæ Douglas Eck Research Scientist, Music and Machine Learning Google, Mountain View CA, USA  Contact

Curriculum Vitæ Douglas Eck Research Scientist, Music and Machine Learning Google, Mountain View CA, USA Contact

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Source URL: www.iro.umontreal.ca

Language: English - Date: 2011-04-14 12:27:48
55Processing spontaneous speech in deployed Spoken Language Understanding systems: a survey Frédéric Béchet LIA, Université d’Avignon

Processing spontaneous speech in deployed Spoken Language Understanding systems: a survey Frédéric Béchet LIA, Université d’Avignon

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Source URL: pageperso.lif.univ-mrs.fr

Language: English - Date: 2015-02-06 07:25:14
5621st International Conference on Pattern Recognition (ICPRNovember 11-15, 2012. Tsukuba, Japan Audio-Visual Data Association for Face Expression Analysis Ashish Tawari and Mohan Trivedi University of California Sa

21st International Conference on Pattern Recognition (ICPRNovember 11-15, 2012. Tsukuba, Japan Audio-Visual Data Association for Face Expression Analysis Ashish Tawari and Mohan Trivedi University of California Sa

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Source URL: cvrr.ucsd.edu

Language: English - Date: 2012-11-19 16:15:15
57EVALUATION OF HMM-BASED LAUGHTER SYNTHESIS J´erˆome Urbain and H¨useyin C¸akmak and Thierry Dutoit TCTS Lab, Facult´e Polytechnique, Universit´e de Mons, Place du Parc 20, 7000 Mons, Belgium ABSTRACT In this paper

EVALUATION OF HMM-BASED LAUGHTER SYNTHESIS J´erˆome Urbain and H¨useyin C¸akmak and Thierry Dutoit TCTS Lab, Facult´e Polytechnique, Universit´e de Mons, Place du Parc 20, 7000 Mons, Belgium ABSTRACT In this paper

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Source URL: www.ilhaire.eu

Language: English - Date: 2013-09-16 09:39:18
58The Social Signal Interpretation (SSI) Framework Multimodal Signal Processing and Recognition in Real-Time Johannes Wagner, Florian Lingenfelser, Tobias Baur, Ionut Damian, Felix Kistler and Elisabeth André Lab for Huma

The Social Signal Interpretation (SSI) Framework Multimodal Signal Processing and Recognition in Real-Time Johannes Wagner, Florian Lingenfelser, Tobias Baur, Ionut Damian, Felix Kistler and Elisabeth André Lab for Huma

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Source URL: www.ilhaire.eu

Language: English - Date: 2013-09-17 09:37:13
59Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora  Abstract A word’s sentiment depends on the domain in which it is used. Computational social science research thus requires sentiment lexicons that

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora Abstract A word’s sentiment depends on the domain in which it is used. Computational social science research thus requires sentiment lexicons that

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Source URL: arxiv.org

Language: English - Date: 2016-06-09 20:21:31
60STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper,

STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper,

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2016-03-11 05:30:19