activity
20202025
most citedTorchAudio: Building Blocks for Audio and Speech Processing

14 citations · 32 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2025★ 2 cited

The Amazon Nova Family of Models: Technical Report and Model Card

Amazon AGI, Aaron Langford, Aayush Shah +783

We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…

eess.AS2021★ 14 cited

TorchAudio: Building Blocks for Audio and Speech Processing

Yao-Yuan Yang, Moto Hira, Zhaoheng Ni +20

This document describes version 0.10 of TorchAudio: building blocks for machine learning applications in the audio and speech processing domain. The objective of TorchAudio is to a…

cs.CL2021★ 2 cited

Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task

Yun Tang, Juan Pino, Xian Li +2

Pretraining and multitask learning are widely used to improve the speech to text translation performance. In this study, we are interested in training a speech to text translation…

cs.CL2021★ 12 cited

Adaptive Sparse Transformer for Multilingual Translation

Hongyu Gong, Xian Li, Dmitriy Genzel

Multilingual machine translation has attracted much attention recently due to its support of knowledge transfer among languages and the low cost of training and deployment compared…

cs.CL2020★ 2 cited

A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks

Yun Tang, Juan Pino, Changhan Wang +2

Attention-based sequence-to-sequence modeling provides a powerful and elegant solution for applications that need to map one sequence to a different sequence. Its success heavily r…

cs.CL2020

TICO-19: the Translation Initiative for Covid-19

Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou +15

The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations t…