1.6k citations · 3.7k across the 27 of their papers we have counts for
5 papers · 1 filter
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Arun Babu, Changhan Wang, Andros Tjandra +10
This paper presents XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0. We train models with up to 2B parameters on nearly half a mill…
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Ankur Bapna, Yu-an Chung, Nan Wu +7
Unsupervised pre-training is now the predominant approach for both text and speech understanding. Self-attention models pre-trained on large amounts of unannotated data have been h…
Larger-Scale Transformers for Multilingual Masked Language Modeling
Naman Goyal, Jingfei Du, Myle Ott +2
Recent work has demonstrated the effectiveness of cross-lingual language model pretraining for cross-lingual understanding. In this study, we present the results of two larger mult…
Unsupervised Speech Recognition
Alexei Baevski, Wei-Ning Hsu, Alexis Conneau +1
Despite rapid progress in the recent past, current speech recognition systems still require labeled training data which limits this technology to a small fraction of the languages…
Large-Scale Self- and Semi-Supervised Learning for Speech Translation
Changhan Wang, Anne Wu, Juan Pino +3
In this paper, we improve speech translation (ST) through effectively leveraging large quantities of unlabeled speech and text data in different and complementary ways. We explore…