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Conference Paper Emotional Speech Synthesis with Rich and Granularized Control
Cited 70 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Se-Yun Um, Sangshin Oh, Kyungguen Byun, Inseon Jang, ChungHyun Ahn, Hong-Goo Kang
Issue Date
2020-05
Citation
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020, pp.7254-7258
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICASSP40776.2020.9053732
Abstract
This paper proposes an effective emotion control method for an end-to-end text-to-speech (TTS) system. To flexibly control the distinct characteristic of a target emotion category, it is essential to determine embedding vectors representing the TTS input. We introduce an inter-to-intra emotional distance ratio algorithm to the embedding vectors that can minimize the distance to the target emotion category while maximizing its distance to the other emotion categories. To further enhance the expressiveness of a target speech, we also introduce an effective interpolation technique that enables the intensity of a target emotion to be gradually changed to that of neutral speech. Subjective evaluation results in terms of emotional expressiveness and controllability show the superiority of the proposed algorithm to the conventional methods.
KSP Keywords
Conventional methods, Emotion control, End to End(E2E), Text-To-Speech(TTS), control method, emotional speech, interpolation technique, neutral speech, speech synthesis, subjective evaluation