Abstract
This letter proposes an HMM-based Text-to-Speech (TTS) system using waveform interpolation (WI)-based speech analysis and synthesis. The synthesized speech quality of the proposed system is significantly improved due to adopting an enhanced excitation modeling technique. The decomposition of characteristic waveform (CW) into slowly evolving waveform (SEW) and rapidly evolving waveform (REW) is efficient not only for excitation modeling but also for training process of HMMs. Objective and subjective test results verify the superiority of the proposed approach to conventional ones.
| Original language | English |
|---|---|
| Article number | 6319353 |
| Pages (from-to) | 809-812 |
| Number of pages | 4 |
| Journal | IEEE Signal Processing Letters |
| Volume | 19 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2012 Oct 29 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics
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Jung, C. S., Joo, Y. S., & Kang, H. G. (2012). Waveform interpolation-based speech analysis/synthesis for HMM-based TTS systems. IEEE Signal Processing Letters, 19(12), 809-812. [6319353]. https://doi.org/10.1109/LSP.2012.2221703