Papers

FluentTTS: Text-dependent Fine-grained Style Control for Multi-style TTS

International Conference
작성자
dsp
작성일
2022-06-16 17:07
조회
1155
Authors : Changhwan Kim, Seyun Um, Hyungchan Yoon, Hong-goo Kang

Year : 2022

Publisher / Conference : INTERSPEECH

Research area : Speech Signal Processing, Text-to-Speech, Speech Synthesis


Presentation : Poster

In this paper, we propose a method to flexibly control the local prosodic variation of a neural text-to-speech (TTS) model. To provide expressiveness for synthesized speech, conventional TTS models utilize utterance-wise global style embeddings that are obtained by compressing frame-level embeddings along the time axis. However, since utterance-wise global features do not contain sufficient information to represent the characteristics of word-level local features, they are not appropriate for direct use on controlling prosody at a fine scale. In multi-style TTS models, it is very important to have the capability to control local prosody because it plays a key role in finding the most appropriate text-to-speech pair among many one-to-many mapping candidates.
To explicitly present local prosodic characteristics to the contextual information of the corresponding input text, we propose a module to predict the fundamental frequency (F0) of each text by conditioning on the utterance-wise global style embedding. We also estimate multi-style embeddings using a multi-style encoder, which takes as inputs both a global utterance-wise embedding and a local F0 embedding. Our multi-style embedding enhances the naturalness and expressiveness of synthesized speech and is able to control prosody styles at the word-level or phoneme -level.
전체 355
345 International Journal Hyungchan Yoon, Changhwan Kim, Seyun Um, Hyun-Wook Yoon, Hong-Goo Kang "SC-CNN: Effective Speaker Conditioning Method for Zero-Shot Multi-Speaker Text-to-Speech Systems" in IEEE Signal Processing Letters, vol.30, pp.593-597, 2023
344 International Conference Miseul Kim, Zhenyu Piao, Jihyun Lee, Hong-Goo Kang "BrainTalker: Low-Resource Brain-to-Speech Synthesis with Transfer Learning using Wav2Vec 2.0" in The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2023
343 International Conference Seyun Um, Jihyun Kim, Jihyun Lee, Hong-Goo Kang "Facetron: A Multi-speaker Face-to-Speech Model based on Cross-Modal Latent Representations" in EUSIPCO, 2023
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341 International Conference Jihyun Kim, Hong-Goo Kang "Contrastive Learning based Deep Latent Masking for Music Source Seperation" in INTERSPEECH, 2023
340 International Conference Woo-Jin Chung, Doyeon Kim, Soo-Whan Chung, Hong-Goo Kang "MF-PAM: Accurate Pitch Estimation through Periodicity Analysis and Multi-level Feature Fusion" in INTERSPEECH, 2023
339 International Conference Hyungchan Yoon, Seyun Um, Changhwan Kim, Hong-Goo Kang "Adversarial Learning of Intermediate Acoustic Feature for End-to-End Lightweight Text-to-Speech" in INTERSPEECH, 2023
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337 International Conference Doyeon Kim, Soo-Whan Chung, Hyewon Han, Youna Ji, Hong-Goo Kang "HD-DEMUCS: General Speech Restoration with Heterogeneous Decoders" in INTERSPEECH, 2023
336 Domestic Conference Jihyun Lee, Wootaek Lim, Hong-Goo Kang "음성 압축에서의 심층 신경망 기반 장구간 예측" in 한국방송·미디어공학회 2023년 하계학술대회, 2023