activity
20162022
most citedLingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

184 citations · 474 across the 16 of their papers we have counts for

collaborators

31 papers

cs.CL20225 cited

Speech-to-Speech Translation For A Real-world Unwritten Language

Peng-Jen Chen, Kevin Tran, Yilin Yang +13

We study speech-to-speech translation (S2ST) that translates speech from one language into another language and focuses on building systems to support languages without standard te…

cs.CL20222 cited

Simple and Effective Unsupervised Speech Translation

Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen +5

The amount of labeled data to train models for speech tasks is limited for most languages, however, the data scarcity is exacerbated for speech translation which requires labeled d…

cs.LG2022

On-demand compute reduction with stochastic wav2vec 2.0

Apoorv Vyas, Wei-Ning Hsu, Michael Auli +1

Squeeze and Efficient Wav2vec (SEW) is a recently proposed architecture that squeezes the input to the transformer encoder for compute efficient pre-training and inference with wav…

cs.SD20221 cited

Simple and Effective Unsupervised Speech Synthesis

Alexander H. Liu, Cheng-I Jeff Lai, Wei-Ning Hsu +3

We introduce the first unsupervised speech synthesis system based on a simple, yet effective recipe. The framework leverages recent work in unsupervised speech recognition as well…

cs.CL2022

Unified Speech-Text Pre-training for Speech Translation and Recognition

Yun Tang, Hongyu Gong, Ning Dong +8

We describe a method to jointly pre-train speech and text in an encoder-decoder modeling framework for speech translation and recognition. The proposed method incorporates four sel…

cs.CL20224 cited

textless-lib: a Library for Textless Spoken Language Processing

Eugene Kharitonov, Jade Copet, Kushal Lakhotia +8

Textless spoken language processing research aims to extend the applicability of standard NLP toolset onto spoken language and languages with few or no textual resources. In this p…