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20182022
most citedStyle Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

542 citations · 1.8k across the 25 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.AI2022★ 1 cited

Speech Aware Dialog System Technology Challenge (DSTC11)

Hagen Soltau, Izhak Shafran, Mingqiu Wang +6

Most research on task oriented dialog modeling is based on written text input. However, users interact with practical dialog systems often using speech as input. Typically, systems…

cs.CL2022★ 1 cited

Textless Direct Speech-to-Speech Translation with Discrete Speech Representation

Xinjian Li, Ye Jia, Chung-Cheng Chiu

Research on speech-to-speech translation (S2ST) has progressed rapidly in recent years. Many end-to-end systems have been proposed and show advantages over conventional cascade sys…

cs.SD2022

Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks

Lev Finkelstein, Heiga Zen, Norman Casagrande +9

Transfer tasks in text-to-speech (TTS) synthesis - where one or more aspects of the speech of one set of speakers is transferred to another set of speakers that do not feature thes…

cs.CL2022★ 1 cited

XTREME-S: Evaluating Cross-lingual Speech Representations

Alexis Conneau, Ankur Bapna, Yu Zhang +16

We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages. XTREME-S covers four task families: speech recognition, classif…

cs.CL2022

Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation

Ye Jia, Yifan Ding, Ankur Bapna +4

End-to-end speech-to-speech translation (S2ST) without relying on intermediate text representations is a rapidly emerging frontier of research. Recent works have demonstrated that…

cs.CL2022★ 59 cited

mSLAM: Massively multilingual joint pre-training for speech and text

Ankur Bapna, Colin Cherry, Yu Zhang +6

We present mSLAM, a multilingual Speech and LAnguage Model that learns cross-lingual cross-modal representations of speech and text by pre-training jointly on large amounts of unla…