activity
20192024
most citedWavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

1.9k citations · 1.9k across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024★ 1 cited

TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation

Chenyang Le, Yao Qian, Dongmei Wang +8

There is a rising interest and trend in research towards directly translating speech from one language to another, known as end-to-end speech-to-speech translation. However, most e…

cs.CL2023★ 2 cited

i-Code Studio: A Configurable and Composable Framework for Integrative AI

Yuwei Fang, Mahmoud Khademi, Chenguang Zhu +8

Artificial General Intelligence (AGI) requires comprehensive understanding and generation capabilities for a variety of tasks spanning different modalities and functionalities. Int…

cs.CL2023★ 1 cited

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu +16

The convergence of text, visual, and audio data is a key step towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encod…

cs.CL2023★ 2 cited

ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation

Chenyang Le, Yao Qian, Long Zhou +4

Joint speech-language training is challenging due to the large demand for training data and GPU consumption, as well as the modality gap between speech and language. We present Com…

cs.CL2021★ 10 cited

UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training

Sanyuan Chen, Yu Wu, Chengyi Wang +8

Self-supervised learning (SSL) is a long-standing goal for speech processing, since it utilizes large-scale unlabeled data and avoids extensive human labeling. Recent years witness…

cs.CL2021★ 1.9k cited

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

Sanyuan Chen, Chengyi Wang, Zhengyang Chen +15

Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks. As speech signal contai…