Waveform interpolation-based speech analysis/synthesis for HMM-based TTS systems

Chi Sang Jung; Young Sun Joo; Hong Goo Kang

doi:10.1109/LSP.2012.2221703

Waveform interpolation-based speech analysis/synthesis for HMM-based TTS systems

Chi Sang Jung, Young Sun Joo, Hong Goo Kang

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

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	https://doi.org/10.1109/LSP.2012.2221703
Publication status	Published - 2012

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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Waveform interpolation-based speech analysis/synthesis for HMM-based TTS systems

Abstract

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