Papers

Enhancement of spectral clarity for HMM-based text-to-speech systems

International Conference
2011~2015
작성자
한혜원
작성일
2013-05-01 00:40
조회
1099
Authors : Young-Sun Joo, Chi-Sang Jung, Hong-Goo Kang

Year : 2013

Publisher / Conference : ICASSP

This paper proposes a method to enhance the spectral clarity of hidden Markov model (HMM)-based text-to-speech (TTS) systems. A simple way of enhancing spectral clarity is increasing the order of spectral parameters in the speech analysis/synthesis stage, but the method has an inherent statistical modeling problem. The proposed algorithm takes a low-to-high-order spectral parameter mapping approach that adopts low-order parameters for HMM training but does high-order parameters for the actual synthesis step. Various ways of mapping criterion to find appropriate high-order parameters are investigated to further enhance the quality of synthesized speech. Performance evaluation results verify the superiority of the proposed method compared to the conventional one.
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