-
- Tomoki Hamagami
- CHIBA University., SECOM IS Laboratory, SECOM Co., LTD.
-
- Seiichi Koakutsu
- CHIBA University.
-
- Hironori Hirata
- CHIBA University.
Bibliographic Information
- Other Title
-
- 遺伝的アルゴリズムに基づく音声合成のためのスペクトルパタン圧縮法
Abstract
This paper proposes a new applied method to compress the VCV (Vowel-Consonant-Vowel) speech spectrum pattern for synthesis by rule using a Genetic Algorithm (GA). In this method synthesized speech is generated by using parameters from a subset of all of the analyzed VCV frame data. The subset which can generate high-quality synthesized speech is selected automatically by using an optimum combination technique based on GA. We regarded “individuals” in GA as the random selected subsets and defined “fitness” as the inverse of the perceptually based weighting error which is extracted from the difference between natural speech and synthesized speech. Furthermore by using a “generation-dependent mutation width”, the convergence speed can be greatly increased as compared to a ordinary mutation technique. The results from a listening experiment indicate that the synthetic speech generated from the compressed spectrum pattern is of sufficient quality to be of practical use.
Journal
-
- IEEJ Transactions on Electronics, Information and Systems
-
IEEJ Transactions on Electronics, Information and Systems 119 (1), 143-150, 1999
The Institute of Electrical Engineers of Japan
- Tweet
Details 詳細情報について
-
- CRID
- 1390282679585079552
-
- NII Article ID
- 130006844132
-
- ISSN
- 13488155
- 03854221
-
- Data Source
-
- JaLC
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed