most citedOnline Automatic Speech Recognition with Listen, Attend and Spell Model

19 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2022★ 2 cited

Variable Attention Masking for Configurable Transformer Transducer Speech Recognition

Pawel Swietojanski, Stefan Braun, Dogan Can +9

This work studies the use of attention masking in transformer transducer based speech recognition for building a single configurable model for different deployment scenarios. We pr…

cs.SD2022★ 1 cited

Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation

Thien Nguyen, Nathalie Tran, Liuhui Deng +16

Code-switching describes the practice of using more than one language in the same sentence. In this study, we investigate how to optimize a neural transducer based bilingual automa…

cs.CL2022

Bilingual End-to-End ASR with Byte-Level Subwords

Liuhui Deng, Roger Hsiao, Arnab Ghoshal

In this paper, we investigate how the output representation of an end-to-end neural network affects multilingual automatic speech recognition (ASR). We study different representati…

eess.AS2020★ 19 cited

Online Automatic Speech Recognition with Listen, Attend and Spell Model

Roger Hsiao, Dogan Can, Tim Ng +2

The Listen, Attend and Spell (LAS) model and other attention-based automatic speech recognition (ASR) models have known limitations when operated in a fully online mode. In this pa…

eess.AS2020

Improving Language Identification for Multilingual Speakers

Andrew Titus, Jan Silovsky, Nanxin Chen +3

Spoken language identification (LID) technologies have improved in recent years from discriminating largely distinct languages to discriminating highly similar languages or even di…