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most citedWavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

1.9k citations · 2.2k across the 16 of their papers we have counts for

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cs.CL2023★ 25 cited

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

Ziqiang Zhang, Long Zhou, Chengyi Wang +10

We propose a cross-lingual neural codec language model, VALL-E X, for cross-lingual speech synthesis. Specifically, we extend VALL-E and train a multi-lingual conditional codec lan…

cs.CL2023★ 163 cited

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Chengyi Wang, Sanyuan Chen, Yu Wu +10

We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called Vall-E) using discrete codes derived from…