Hybrid voice conversion of unit selection and generation using prosody dependent HMM

Tadashi Okubo*, Ryo Mochizuki, Tetsunori Kobayashi


研究成果: Article査読

8 被引用数 (Scopus)


We propose a hybrid voice conversion method which employs a combination of techniques using HMM-based unit selection and spectrum generation. In the proposed method, the HMM-based unit selection selects the most likely unit for the required phoneme context from the target speaker's corpus when candidates of the target unit exist in the corpus. Unit selection is performed based on the sequence of the spectral probability distribution obtained from the adapted HMMs. On the other hand, when a target unit does not exist in a corpus, a target waveform is generated from the adapted HMM sequence by maximizing the spectral likelihood. The proposed method also employs the HMM in which the spectral probability distribution is adjusted to the target prosody using the weight defined by the prosodic probability of each distribution. To show the effectiveness of the proposed method, sound quality and speaker individuality tests were conducted. The results revealed that the proposed method could produce high-quality speech and individuality of the synthesized sound was more similar to the target speaker compared to conventional methods.

ジャーナルIEICE Transactions on Information and Systems
出版ステータスPublished - 2006 11月

ASJC Scopus subject areas

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能


「Hybrid voice conversion of unit selection and generation using prosody dependent HMM」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。