31 citations · 96 across the 14 of their papers we have counts for
3 papers · 1 filter
Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring
Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh +2
This article describes an efficient end-to-end speech translation (E2E-ST) framework based on non-autoregressive (NAR) models. End-to-end speech translation models have several adv…
ESPnet-ST IWSLT 2021 Offline Speech Translation System
Hirofumi Inaguma, Brian Yan, Siddharth Dalmia +4
This paper describes the ESPnet-ST group's IWSLT 2021 submission in the offline speech translation track. This year we made various efforts on training data, architecture, and audi…
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec
Jiatong Shi, Jonathan D. Amith, Rey Castillo García +3
"Transcription bottlenecks", created by a shortage of effective human transcribers are one of the main challenges to endangered language (EL) documentation. Automatic speech recogn…