most citedBuilding Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss

2 citations · 2 across the 3 of their papers we have counts for

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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…

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…