ICASSP 2010 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - March 14 - 19, 2010 - Dallas, Texas, USA

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SP-P4: Speech Synthesis II

Session Type: Poster
Time: Wednesday, March 17, 10:00 - 12:00
Location: Poster Area A
Session Chair: Tomoki Toda, NAIST, Japan
 
  SP-P4.1: UNSUPERVISED CROSS-LINGUAL SPEAKER ADAPTATION FOR HMM-BASED SPEECH SYNTHESIS
         Keiichiro Oura; Nagoya Institute of Technology
         Keiichi Tokuda; Nagoya Institute of Technology
         Junichi Yamagishi; University of Edinburgh
         Simon King; University of Edinburgh
         Mirjam Wester; University of Edinburgh
 
  SP-P4.2: A COMPARISON OF SUPERVISED AND UNSUPERVISED CROSS-LINGUAL SPEAKER ADAPTATION APPROACHES FOR HMM-BASED SPEECH SYNTHESIS
         Hui Liang; Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL)
         John Dines; Idiap Research Institute
         Lakshmi Saheer; Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
  SP-P4.3: CROSS-VALIDATION BASED DECISION TREE CLUSTERING FOR HMM-BASED TTS
         Yu Zhang; Shanghai Jiao Tong University
         Zhi-Jie Yan; Microsoft Research Asia
         Frank K.Soong; Microsoft Research Asia
 
  SP-P4.4: IMPROVED MODELING FOR F0 GENERATION AND V/U DECISION IN HMM-BASED TTS
         Qingqing Zhang; Institute of Acoustics, Chinese Academy of Sciences
         Frank Soong; Microsoft Research Asia
         Yao Qian; Microsoft Research Asia
         Zhijie Yan; Microsoft Research Asia
         Jielin Pan; Institute of Acoustics, Chinese Academy of Sciences
         Yonghong Yan; Institute of Acoustics, Chinese Academy of Sciences
 
  SP-P4.5: SIMPLE METHODS FOR IMPROVING SPEAKER-SIMILARITY OF HMM-BASED SPEECH SYNTHESIS
         Junichi Yamagishi; University of Edinburgh
         Simon King; University of Edinburgh
 
  SP-P4.6: AN AUTOENCODER NEURAL-NETWORK BASED LOW-DIMENSIONALITY APPROACH TO EXCITATION MODELING FOR HMM-BASED TEXT-TO-SPEECH
         Srikanth Vishnubhotla; University of Maryland
         Raul Fernandez; IBM Research
         Bhuvana Ramabhadran; IBM Research
 
  SP-P4.7: KALMAN FILTER BASED SPEECH SYNTHESIS
         Carl Quillen; MIT Lincoln Laboratory
 
  SP-P4.8: HMM-BASED SPEECH SYNTHESIS WITH UNSUPERVISED LABELING OF ACCENTUAL CONTEXT BASED ON F0 QUANTIZATION AND AVERAGE VOICE MODEL
         Takashi Nose; Tokyo Institute of Technology
         Koujirou Ooki; Tokyo Institute of Technology
         Takao Kobayashi; Tokyo Institute of Technology
 
  SP-P4.9: A COMBINED TIME-VARYING AND TIME-INVARIANT PREDICTION ALGORITHM BASED ON LATTICE FILTERS FOR SPEECH ANALYSIS AND SYNTHESIS
         Karl Schnell; Goethe-University Frankfurt am Main
 
  SP-P4.10: A HMM-BASED SPEECH SYNTHESIS SYSTEM USING A NEW GLOTTAL SOURCE AND VOCAL-TRACT SEPARATION METHOD
         Pierre Lanchantin; IRCAM
         Gilles Degottex; IRCAM
         Xavier Rodet; IRCAM
 
  SP-P4.11: APPLYING LOG LINEAR MODEL BASED CONTEXT DEPENDENT MACHINE TRANSLATION TECHNIQUES TO GRAPHEME-TO-PHONEME CONVERSION
         Rong Zhang; IBM
         Bowen Zhou; IBM
 
  SP-P4.12: SYNTHESIZING SPEECH FROM DOPPLER SIGNALS
         Arthur Toth; Carnegie Mellon University
         Bhiksha Raj; Carnegie Mellon University
         Kaustubh Kalgaonkar; Georgia Institute of Technology
         Tony Ezzat; Mitsubishi Electric Research Laboratories
 
  SP-P4.13: UNSUPERVISED CROSS-LINGUAL SPEAKER ADAPTATION FOR HMM-BASED SPEECH SYNTHESIS USING TWO-PASS DECISION TREE CONSTRUCTION
         Matthew Gibson; Cambridge University
         Teemu Hirsimaki; Helsinki University of Technology
         Reima Karhila; Helsinki University of Technology
         Mikko Kurimo; Helsinki University of Technology
         William Byrne; Cambridge University
 

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