Papers

화자 및 발화 스타일 임베딩을 통한 다화자 음성합성 시스템 음질 향상

Domestic Conference
2016~2020
작성자
이지현
작성일
2020-08-01 21:52
조회
620
Authors : 오태양, 정기혁, 강홍구

Year : 2020

Publisher / Conference : 전자공학회 하계학술대회

Page : 980-982

In this paper, we improve the speech quality of multi-speaker text-to-speech (TTS) system by adding two embedding networks that represent speaker and speaking style characteristics. The speaker embedding is extracted from a d-vector based encoder and speaking style embedding from a global style token (GST) encoder. Since two encoders compensate each other for well-representing speaker and speaking style, the quality of synthesized speech is very good. Subjective listening tests show that our proposed model outperforms the d-vector based Tacotron2 system.
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