Shinnosuke TAKAMICHI


Generative Moment Matching Network-Based Neural Double-Tracking for Synthesized and Natural Singing Voices
Hiroki TAMARU Yuki SAITO Shinnosuke TAKAMICHI Tomoki KORIYAMA Hiroshi SARUWATARI 
Publication:   
Publication Date: 2020/03/01
Vol. E103-D  No. 3  pp. 639-647
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
DNN-based singing-voice synthesisgenerative moment matching networkinter-utterance pitch variationartificial double-trackingmodulation spectrum
 Summary | Full Text:PDF(893.2KB)

Prosody Correction Preserving Speaker Individuality for Chinese-Accented Japanese HMM-Based Text-to-Speech Synthesis
Daiki SEKIZAWA Shinnosuke TAKAMICHI Hiroshi SARUWATARI 
Publication:   
Publication Date: 2019/06/01
Vol. E102-D  No. 6  pp. 1218-1221
Type of Manuscript:  LETTER
Category: Speech and Hearing
Keyword: 
HMM-based text-to-speech synthesisnon-native speechChinese-accented Japaneseprosody
 Summary | Full Text:PDF(507.5KB)

Voice Conversion Using Input-to-Output Highway Networks
Yuki SAITO Shinnosuke TAKAMICHI Hiroshi SARUWATARI 
Publication:   
Publication Date: 2017/08/01
Vol. E100-D  No. 8  pp. 1925-1928
Type of Manuscript:  LETTER
Category: Speech and Hearing
Keyword: 
statistical parametric speech synthesisDNN-based voice conversionhighway networksover-smoothing
 Summary | Full Text:PDF(557.9KB)

Non-Native Text-to-Speech Preserving Speaker Individuality Based on Partial Correction of Prosodic and Phonetic Characteristics
Yuji OSHIMA Shinnosuke TAKAMICHI Tomoki TODA Graham NEUBIG Sakriani SAKTI Satoshi NAKAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/12/01
Vol. E99-D  No. 12  pp. 3132-3139
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
cross-lingual speech synthesisEnglish-Read-by-Japanesespeaker individualityHMM-based speech synthesisprosody correctionphonetic correction
 Summary | Full Text:PDF(1.2MB)

A Statistical Sample-Based Approach to GMM-Based Voice Conversion Using Tied-Covariance Acoustic Models
Shinnosuke TAKAMICHI Tomoki TODA Graham NEUBIG Sakriani SAKTI Satoshi NAKAMURA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/10/01
Vol. E99-D  No. 10  pp. 2490-2498
Type of Manuscript:  Special Section PAPER (Special Section on Recent Advances in Machine Learning for Spoken Language Processing)
Category: Voice conversion
Keyword: 
GMM-based voice conversionsample-based speech synthesisspeech parameter conversionrich context model
 Summary | Full Text:PDF(846.3KB)