상세정보
학술대회
Emotional Speech Synthesis Based on Style Embedded Tacotron2 Framework
- 발행일
- 201906
- 출처
- International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2019, pp.344-347
- 협약과제
- 19HR2600, 시청각장애인 방송접근권 향상을 위한 디지털자막·음성해설 서비스 기술 개발, 안충현
- 초록
- In this paper, we propose a speech synthesis system that effectively generates multiple types of emotional speech using the concept of global style token (GST); where the emotion-related style information is presented by an additional style embedding vector. Although the GST is not a new idea, no one has been utilized the idea for an emotional speech synthesis task. We explicitly combine the GST idea with the Tacotron2 framework to implement an emotional text-to-speech system. The analysis results demonstrate that the proposed GST structure successfully transfers various types of emotional information to the synthesized speech. Subjective listening tests to evaluate the naturalness and emotional expression of synthesized speech are conducted to verify the superiority of the proposed algorithm.
- KSP 제안 키워드
- Emotional expression, Synthesized speech, Text-To-Speech(TTS), emotional speech, speech synthesis system, subjective listening tests, text-to-speech system