2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.AS2025
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
Bowen Zhang, Congchao Guo, Geng Yang +17
We introduce MiniMax-Speech, an autoregressive Transformer-based Text-to-Speech (TTS) model that generates high-quality speech. A key innovation is our learnable speaker encoder, w…
cs.SD2021
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines
Haozhe Zhang, Zexin Cai, Xiaoyi Qin +1
Nowadays, as more and more systems achieve good performance in traditional voice conversion (VC) tasks, people's attention gradually turns to VC tasks under extreme conditions. In…
eess.AS2021★ 2 cited
Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss
Yaogen Yang, Haozhe Zhang, Xiaoyi Qin +4
Building cross-lingual voice conversion (VC) systems for multiple speakers and multiple languages has been a challenging task for a long time. This paper describes a parallel non-a…