Search Results for author: Yinghao Aaron Li

Found 2 papers, 1 papers with code

StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis

no code implementations30 May 2022 Yinghao Aaron Li, Cong Han, Nima Mesgarani

Text-to-Speech (TTS) has recently seen great progress in synthesizing high-quality speech owing to the rapid development of parallel TTS systems, but producing speech with naturalistic prosodic variations, speaking styles and emotional tones remains challenging.

Data Augmentation Self-Supervised Learning +2

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

1 code implementation21 Jul 2021 Yinghao Aaron Li, Ali Zare, Nima Mesgarani

We present an unsupervised non-parallel many-to-many voice conversion (VC) method using a generative adversarial network (GAN) called StarGAN v2.

Voice Conversion

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