Papers

Emotional Speech Synthesis Based on Style Embedded Tacotron2 Framework

International Conference
2016~2020
작성자
한혜원
작성일
2019-06-01 16:43
조회
262
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.
전체 326
286 International Conference Keulbit Kim, Jinkyu Lee, Jan Skoglund, Hong-Goo Kang "Model Order Selection for Wind Noise Reduction in Non-negative Matrix Factorization" in ITC-CSCC, 2019
285 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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