Speech synthesis

Results: 999



#Item
1Individuality-Preserving Voice Reconstruction for Articulation Disorders Using Text-to-Speech Synthesis Reina Ueda, Tetsuya Takiguchi, Yasuo Ariki Graduate School of System Informatics, Kobe University 1-1, Rokkodai, Nad

Individuality-Preserving Voice Reconstruction for Articulation Disorders Using Text-to-Speech Synthesis Reina Ueda, Tetsuya Takiguchi, Yasuo Ariki Graduate School of System Informatics, Kobe University 1-1, Rokkodai, Nad

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Source URL: www.me.cs.scitec.kobe-u.ac.jp

Language: English - Date: 2018-02-04 05:47:29
    2DNN-based Speech Synthesis for Indian Languages from ASCII text Srikanth Ronanki1 , Siva Reddy2 , Bajibabu Bollepalli3 , Simon King1 1 The Centre for Speech Technology Research, University of Edinburgh, United Kingdom 2

    DNN-based Speech Synthesis for Indian Languages from ASCII text Srikanth Ronanki1 , Siva Reddy2 , Bajibabu Bollepalli3 , Simon King1 1 The Centre for Speech Technology Research, University of Edinburgh, United Kingdom 2

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

    Language: English - Date: 2016-10-01 03:09:16
      3Incremental speech synthesis  Jens Edlund KTH Speech Music and Hearing Stockholm, Sweden

      Incremental speech synthesis Jens Edlund KTH Speech Music and Hearing Stockholm, Sweden

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      Source URL: www.speech.kth.se

      Language: English
        4Proc. of the 1st Int. Conference on Challenges in Hearing Assistive Technology (CHAT-17), Stockholm, Sweden, August 19, 2017  Individuality-Preserving Speech Synthesis System for Hearing Loss Using Deep Neural Networks T

        Proc. of the 1st Int. Conference on Challenges in Hearing Assistive Technology (CHAT-17), Stockholm, Sweden, August 19, 2017 Individuality-Preserving Speech Synthesis System for Hearing Loss Using Deep Neural Networks T

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        Source URL: www.me.cs.scitec.kobe-u.ac.jp

        Language: English - Date: 2018-02-04 05:47:51
          58th ISCA Speech Synthesis Workshop • August 31 – September 2, 2013 • Barcelona, Spain  Noise-Robust Voice Conversion Based on Spectral Mapping on Sparse Space Ryoichi Takashima, Ryo Aihara, Tetsuya Takiguchi, Yasuo

          8th ISCA Speech Synthesis Workshop • August 31 – September 2, 2013 • Barcelona, Spain Noise-Robust Voice Conversion Based on Spectral Mapping on Sparse Space Ryoichi Takashima, Ryo Aihara, Tetsuya Takiguchi, Yasuo

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          Source URL: www.me.cs.scitec.kobe-u.ac.jp

          Language: English - Date: 2018-02-04 05:47:11
            6USING STATISTICAL MODELS TO PREDICT PHRASE BOUNDARIES FOR SPEECH SYNTHESIS Eric Sanders and Paul Taylor 

            USING STATISTICAL MODELS TO PREDICT PHRASE BOUNDARIES FOR SPEECH SYNTHESIS Eric Sanders and Paul Taylor 

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

            - Date: 2004-10-21 09:11:49
              7METHODS FOR APPLYING DYNAMIC SINUSOIDAL MODELS TO STATISTICAL PARAMETRIC SPEECH SYNTHESIS Qiong Hu1 , Yannis Stylianou2 , Ranniery Maia2 , Korin Richmond1 , Junichi Yamagishi1,3 1  The Centre for Speech Technology Resear

              METHODS FOR APPLYING DYNAMIC SINUSOIDAL MODELS TO STATISTICAL PARAMETRIC SPEECH SYNTHESIS Qiong Hu1 , Yannis Stylianou2 , Ranniery Maia2 , Korin Richmond1 , Junichi Yamagishi1,3 1 The Centre for Speech Technology Resear

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

              - Date: 2015-09-29 11:06:25
                8A perceptual investigation of wavelet-based decomposition of f0 for text-to-speech synthesis Manuel Sam Ribeiro1 , Junichi Yamagishi12 , Robert A. J. Clark1 1  Centre for Speech Technology Research, University of Edinbur

                A perceptual investigation of wavelet-based decomposition of f0 for text-to-speech synthesis Manuel Sam Ribeiro1 , Junichi Yamagishi12 , Robert A. J. Clark1 1 Centre for Speech Technology Research, University of Edinbur

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

                - Date: 2015-10-01 06:17:06
                  9A study of speaker adaptation for DNN-based speech synthesis Zhizheng Wu Pawel Swietojanski Christophe Veaux Steve Renals

                  A study of speaker adaptation for DNN-based speech synthesis Zhizheng Wu Pawel Swietojanski Christophe Veaux Steve Renals

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

                  - Date: 2015-09-29 11:06:25
                    10ATTRIBUTING MODELLING ERRORS IN HMM SYNTHESIS BY STEPPING GRADUALLY FROM NATURAL TO MODELLED SPEECH Thomas Merritt1 , Javier Latorre2 , Simon King1 1 2

                    ATTRIBUTING MODELLING ERRORS IN HMM SYNTHESIS BY STEPPING GRADUALLY FROM NATURAL TO MODELLED SPEECH Thomas Merritt1 , Javier Latorre2 , Simon King1 1 2

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

                    - Date: 2015-09-29 11:06:25