SP-P9: Topics in Speech Synthesis

Session Type: Poster
Time: Wednesday, May 19, 15:30 - 17:30
Location: Poster Area 3
Chair: Keiichi Tokuda, Nitech
 
SP-P9.1: MINIMUM SEGMENTATION ERROR BASED DISCRIMINATIVE TRAINING FOR SPEECH SYNTHESIS APPLICATION
         Yi-Jian Wu; University of Science and Technology of China
         Hisashi Kawai; ATR, Spoken Language Translation Laboratories
         Jinfu Ni; ATR, Spoken Language Translation Laboratories
         Ren-Hua Wang; University of Science and Technology of China
 
SP-P9.2: WATERMARKING OF SPEECH SIGNALS USING THE SINUSOIDAL MODEL AND FREQUENCY MODULATION OF THE PARTIALS
         Laurent Girin; ICP/INPG
         Sylvain Marchand; SCRIME/LaBRI
 
SP-P9.3: ANALYSIS BY SYNTHESIS OF ACOUSTIC CORRELATES OF BRITISH, AUSTRALIAN AND AMERICAN ACCENTS
         Qin Yan; Brunel University
         Saeed Vaseghi; Brunel University
         Dimitrios Rentzos; Brunel University
         Ching-Hsiang Ho; Fortune Institute of Technology
 
SP-P9.4: REFINING SEGMENTAL BOUNDARIES FOR TTS DATABASE USING FINE CONTEXTUAL-DEPENDENT BOUNDARY MODELS
         Lijuan Wang; Tsinghua University
         Yong Zhao; Microsoft Research Asia
         Min Chu; Microsoft Research Asia
         Jian-Lai Zhou; Microsoft Research Asia
         Zhigang Cao; Tsinghua University
 
SP-P9.5: A LOW-BAND SPECTRUM ENVELOPE MODELING FOR HIGH QUALITY PITCH MODIFICATION
         Ryo Mochizuki; Waseda University / Matsushita Electric Industrial Co., Ltd.
         Tetsunori Kobayashi; Waseda University
 
SP-P9.6: PROBABILITY BASED PROSODY MODEL FOR UNIT SELECTION
         Xi Jun Ma; IBM China Research Laboratory
         Wei Zhang; IBM China Research Laboratory
         Wei Bin Zhu; IBM China Research Laboratory
         Qin Shi; IBM China Research Laboratory
         Ling Jin; IBM China Research Laboratory
 
SP-P9.7: A REAL-TIME CANTONESE TEXT-TO-AUDIOVISUAL SPEECH SYNTHESIZER
         Jian-Qing Wang; Chinese University of Hong Kong
         Ka-Ho Wong; Chinese University of Hong Kong
         Pheng-Ann Heng; Chinese University of Hong Kong
         Helen Meng; Chinese University of Hong Kong
         Tien-Tsin Wong; Chinese University of Hong Kong
 
SP-P9.8: OPTIMIZING SUB-COST FUNCTIONS FOR SEGMENT SELECTION BASED ON PERCEPTUAL EVALUATIONS IN CONCATENATIVE SPEECH SYNTHESIS
         Tomoki Toda; Nagoya Institute of Technology / ATR
         Hisashi Kawai; ATR, Spoken Language Translation Laboratories
         Minoru Tsuzaki; ATR, Spoken Language Translation Laboratories
 
SP-P9.9: EVALUATION OF THE EFFECT OF STRESS ON FORMANTS IN FARSI VOWELS
         Davood Gharavian; Amirkabir University of Technology
         Mohammad Ahadi; Amirkabir University of Technology
 
SP-P9.10: A STRATEGY TO SOLVE DATA SCARCITY PROBLEMS IN CORPUS BASED INTONATION MODELLING
         Valentín Cardeñoso; University of Valladolid
         David Escudero; University of Valladolid
 
SP-P9.11: AN IMPROVED CORRECTION FORMULA FOR THE ESTIMATION OF HARMONIC MAGNITUDES AND ITS APPLICATION TO OPEN QUOTIENT ESTIMATION
         Markus Iseli; University of California, Los Angeles
         Abeer Alwan; University of California, Los Angeles
 
SP-P9.12: MODELING PRONUNCIATION VARIATION FOR SPONTANEOUS SPEECH SYNTHESIS
         Steffen Werner; Dresden University of Technology
         Matthias Wolff; Dresden University of Technology
         Matthias Eichner; Dresden University of Technology
         Rüdiger Hoffmann; Dresden University of Technology
 
SP-P9.13: AN EVALUATION OF AUTOMATIC PHONE SEGMENTATION FOR CONCATENATIVE SPEECH SYNTHESIS
         Hisashi Kawai; ATR, Spoken Language Translation Laboratories
         Tomoki Toda; Nagoya Institute of Technology
 
SP-P9.14: SCALING OF WAVEFORM SEGMENTS ALONG THE TIME AXIS FOR CONCATENATIVE SPEECH SYNTHESIS
         Nobuyuki Nishizawa; ATR, Spoken Language Translation Laboratories
         Hisashi Kawai; ATR, Spoken Language Translation Laboratories
 
SP-P9.15: SPEECH SYNTHESIS FROM REAL TIME ULTRASOUND IMAGES OF THE TONGUE
         Bruce Denby; Université Pierre et Marie Curie
         Maureen Stone; University of Maryland Dental School
 

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