Published in IEEE ICASSP, 2024
This paper applies the rectified flow matching algorithm to improve the efficiency of TTS system in the differential equation family (e.g. diffusion and flow matching).
Recommended citation: Yiwei Guo, Chenpeng Du, Ziyang Ma, Xie Chen, Kai Yu. (2024). "VoiceFlow: Efficient text-to-speech with rectified flow matching." In Proc. IEEE ICASSP, 2024, pp. 11121-11125.
Published in AAAI, 2024
This paper proposes a context-aware TTS system with strong zero-shot TTS and speech editing abilities, by a contextual token vocoder CTX-vec2wav and discrete diffusion-based CTX-txt2vec.
Recommended citation: Chenpeng Du, Yiwei Guo, Feiyu Shen, Zhijun Liu, Zheng Liang, Xie Chen, Shuai Wang, Hui Zhang, Kai Yu. (2024). "UniCATS: A unified context-aware text-to-speech framework with contextual vq-diffusion and vocoding." Proc. AAAI, 2024, vol. 38, No. 16, pp. 17924-17932.
Published in IEEE ICASSP, 2023
This paper is about designing a emotion intensity-controllable TTS model by a new soft-label guidance algorithm in the diffusion paradigm.
Recommended citation: Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu. (2023). "EmoDiff: Intensity controllable emotional text-to-speech with soft-label guidance." In Proc. IEEE ICASSP, 2023.
Published in ISCA Interspeech, 2022
This paper is the first to successfully integrate discrete SSL features in TTS that produces a competitive high-fidelity TTS system.
Recommended citation: Chenpeng Du, Yiwei Guo, Xie Chen, Kai Yu. (2022). "VQTTS: High-fidelity text-to-speech synthesis with self-supervised VQ acoustic feature." In Proc. ISCA Interspeech, 2022, pp.1596-1600.
Published in IEEE ICASSP, 2022
This paper aims at enhancing word-level prosody controllability in TTS models by decision tree-based clustering.
Recommended citation: Yiwei Guo, Chenpeng Du, Kai Yu. (2022). "Unsupervised word-level prosody tagging for controllable speech synthesis." In Proc. IEEE ICASSP, 2022, pp.7597-7601.
Published in IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
This paper proposes TN-VQTTS that leverages timbre-normalized vector-quantized acoustic feature for TTS speaker adaptation with little data.
Recommended citation: Chenpeng Du, Yiwei Guo, Xie Chen, Kai Yu. (2023). "Speaker adaptive text-to-speech with timbre-normalized vector-quantized feature." IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, vol. 31, pp. 3446-3456.