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I'm Yuancheng Wang (王远程), a PhD student at the Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), SDS, supervised by Prof. Zhizheng Wu. before that, I received the B.S. degree at CUHK-Shenzhen.
My research interests include Multi-modal LLM, Generative AI for Speech and Audio, Post-Training, and Representation Learning. I am currently a research scientist intern at Meta Superintelligence Labs, working on enhancing the speech capabilities of Llama models. Previously, I have also interned at Microsoft Research Asia (MSRA) and ByteDance.
I have developed several advanced TTS models, including NaturalSpeech 3 and MaskGCT, and I am one of the main contributors and leaders of the open-source Amphion Amphion toolkit. My work has been published at top international AI conferences such as NeurIPS, ICML, ICLR, ACL, and IEEE SLT.
I am looking for a full-time position now, feel free to contact me if you are interested in my experience!
This repository contains a series of works on diffusion-based speech tokenizers, including the official implementation of the paper: "TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Lan…
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…
