Papers

Emotional Speech Synthesis Based on Style Embedded Tacotron2 Framework

International Conference
2016~2020
작성자
한혜원
작성일
2019-06-01 16:43
조회
313
Authors : Ohsung Kwon, Inseon Jang, ChungHyun Ahn, Hong-Goo Kang

Year : 2019

Publisher / Conference : ITC-CSCC

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.
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26 International Conference Se-Yun Um, Sangshin Oh, Kyungguen Byun, Inseon Jang, ChungHyun Ahn, Hong-Goo Kang "Emotional Speech Synthesis with Rich and Granularized Control" in ICASSP, 2020
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21 International Conference Ohsung Kwon, Inseon Jang, ChungHyun Ahn, Hong-Goo Kang "Emotional Speech Synthesis Based on Style Embedded Tacotron2 Framework" in ITC-CSCC, 2019
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18 International Conference Soo-Whan Chung, Joon Son Chung, Hong-Goo Kang "Perfect match: Improved cross-modal embeddings for audio-visual synchronisation" in ICASSP, 2019