Speech Technology

Results: 2764



#Item
201Artificial intelligence / Machine learning / Learning / Applied mathematics / Computational linguistics / Automatic identification and data capture / Computer accessibility / Speech recognition / Artificial neural network / Multi-task learning / Recurrent neural network / Statistical classification

Complementary tasks for context-dependent deep neural network acoustic models Peter Bell, Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK {peter.bell, s.renals}@ed.ac.uk

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

Language: English - Date: 2015-09-29 11:06:25
202Artificial intelligence / Automatic identification and data capture / Artificial neural networks / Machine learning / Computational neuroscience / Learning / Humancomputer interaction / Speech recognition / Convolutional neural network / Speaker recognition / Neocognitron / Unsupervised learning

DIFFERENTIABLE POOLING FOR UNSUPERVISED SPEAKER ADAPTATION Pawel Swietojanski and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB {p.swietojanski, s.renals}@ed.ac.uk ABSTRA

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

Language: English - Date: 2015-09-29 11:06:25
203

Prominence based scoring of speech segments for automatic speech-to-speech summarization Sree Harsha Yella1 , Vasudeva Varma1 , Kishore Prahallad12 1 International Institute of Information and Technology, Hyderabad, Ind

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Source URL: ravi.iiit.ac.in

Language: English - Date: 2011-06-04 11:39:18
    204

    SIGNIFICANCE OF VOWEL EPENTHESIS IN TELUGU TEXT-TO-SPEECH SYNTHESIS Vijayaditya Peddinti, Kishore Prahallad International Institute of Information Technology, Hyderabad, AP, India. , kish

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    Source URL: ravi.iiit.ac.in

    Language: English - Date: 2011-06-04 11:38:54
      205

      Ageing voices: The effect of changes in voice parameters on ASR performance Ravichander Vipperla, Steve Renals, Joe Frankel The Center for Speech Technology Research, School of Informatics, University of Edinburgh Abstra

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

      Language: English - Date: 2010-03-25 14:06:27
        206

        AN ALTERNATIVE REPRESENTATION OF SPEECH USING THE MODIFIED GROUP DELAY FEATURE Rajesh M. Hegde and Hema A. Murthy Department of Computer Science and Engineering Indian Institute of Technology, Madras, Chennai. {rajesh,he

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        Source URL: home.iitk.ac.in

        Language: English
          207

          Inferring User Political Preferences from Streaming Communications Svitlana Volkova,1 Glen Coppersmith2 and Benjamin Van Durme1,2 1 Center for Language and Speech Processing, 2 Human Language Technology Center of Excelle

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          Source URL: www.aclweb.org

          Language: English - Date: 2014-06-12 11:25:17
            208

            SIGNIFICANCE OF THE MUSIC-GROUP DELAY SPECTRUM IN SPEECH ACQUISITION FROM DISTANT MICROPHONES Mrityunjaya Shukla and Rajesh M Hegde Dept. of Electrical Engineering Indian Institute of Technology Kanpur {mrityush, rhegde}

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            Source URL: home.iitk.ac.in

            Language: English
              209

              Significance of Group Delay based Acoustic Features in the Linguistic Search Space for Robust Speech Recognition Ramya R1 , Rajesh M Hegde2 , Hema A Murthy1 1 Indian Institute of Technology Madras,

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              Source URL: home.iitk.ac.in

              Language: English
                210

                NLP on Spoken Documents without ASR Mark Dredze, Aren Jansen, Glen Coppersmith, Ken Church Human Language Technology Center of Excellence Center for Language and Speech Processing Johns Hopkins University mdredze,aren,co

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                Source URL: glencoppersmith.com

                Language: English - Date: 2014-10-07 07:39:53
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