activity
20192023
most citedSelf-Training for End-to-End Speech Recognition

205 citations · 369 across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.CL2021★ 1 cited

Textless Speech-to-Speech Translation on Real Data

Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8

We present a textless speech-to-speech translation (S2ST) system that can translate speech from one language into another language and can be built without the need of any text dat…

cs.CL2021★ 1 cited

Direct Simultaneous Speech-to-Speech Translation with Variational Monotonic Multihead Attention

Xutai Ma, Hongyu Gong, Danni Liu +6

We present a direct simultaneous speech-to-speech translation (Simul-S2ST) model, Furthermore, the generation of translation is independent from intermediate text representations.…

eess.AS2021★ 4 cited

fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit

Changhan Wang, Wei-Ning Hsu, Yossi Adi +5

This paper presents fairseq S^2, a fairseq extension for speech synthesis. We implement a number of autoregressive (AR) and non-AR text-to-speech models, and their multi-speaker va…

cs.CL2021★ 16 cited

Text-Free Prosody-Aware Generative Spoken Language Modeling

Eugene Kharitonov, Ann Lee, Adam Polyak +8

Speech pre-training has primarily demonstrated efficacy on classification tasks, while its capability of generating novel speech, similar to how GPT-2 can generate coherent paragra…

cs.CL2021★ 7 cited

Direct speech-to-speech translation with discrete units

Ann Lee, Peng-Jen Chen, Changhan Wang +9

We present a direct speech-to-speech translation (S2ST) model that translates speech from one language to speech in another language without relying on intermediate text generation…

cs.SD2021

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski +8

Self-supervised learning of speech representations has been a very active research area but most work is focused on a single domain such as read audio books for which there exist l…

cs.CL2021★ 6 cited

VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

Changhan Wang, Morgane Rivière, Ann Lee +6

We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised repre…