Projects per year
Abstract
For constructing a speech synthesis system which can achieve diverse voices, we have been developing a speaker independent approach of HMM-based speech synthesis in which statistical average voice models are adapted to a target speaker using a small amount of speech data. In this paper, we incorporate a high-quality speech vocoding method STRAIGHT and a parameter generation algorithm with global variance into the system for improving quality of synthetic speech. Furthermore, we introduce a feature-space speaker adaptive training algorithm and a gender mixed modeling technique for conducting further normalization of the average voice model. We build an English text-to-speech system using these techniques and show the performance of the system.
Original language | English |
---|---|
Title of host publication | SSW6-2007 |
Subtitle of host publication | 6th ISCA Workshop on Speech Synthesis |
Publisher | International Speech Communication Association |
Pages | 125-130 |
Number of pages | 6 |
Publication status | Published - 1 Aug 2007 |
Fingerprint
Dive into the research topics of 'Improved Average-Voice-based Speech Synthesis Using Gender-Mixed Modeling and a Parameter Generation Algorithm Considering GV'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Streamed models for automatic speech recognition (EPSRC Advanced Research Fellowship)
1/01/05 → 31/12/09
Project: Research