id eprints-34552
recordtype eprints
institution SOAS, University of London
collection SOAS Research Online
language English
language_search English
description This paper reports on progress integrating the speech recognition toolkit ESPnet into Elpis,a web front-end originally designed to provide access to the Kaldi automatic speech recognition toolkit. The goal of this work is to makeend-to-end speech recognition models avail-able to language workers via a user-friendlygraphical interface. Encouraging results are reported on (i) development of an ESPnet recipe for use in Elpis, with preliminary resultson data sets previously used for training acoustic models with the Persephone toolkit alongwith a new data set that had not previously been used in speech recognition, and (ii) in-corporating ESPnet into Elpis along with UIe nhancements and a CUDA-supported Docker file.
format Journal Article
author Adams, Oliver
author_facet Adams, Oliver
Galliot, Benjamin
Wisniewski, Guillaume
Lambourne, Nicholas
Foley, Ben
Sanders-Dwyer, Rahasya
Wiles, Janet
Alexis, Michaud
Guillaume, Séverine
Besacier, Laurent
Cox, Christopher
Aplonova, Katya
Jacques, Guillaume
Hill, Nathan W.
authorStr Adams, Oliver
author_letter Adams, Oliver
author2 Galliot, Benjamin
Wisniewski, Guillaume
Lambourne, Nicholas
Foley, Ben
Sanders-Dwyer, Rahasya
Wiles, Janet
Alexis, Michaud
Guillaume, Séverine
Besacier, Laurent
Cox, Christopher
Aplonova, Katya
Jacques, Guillaume
Hill, Nathan W.
author2Str Galliot, Benjamin
Wisniewski, Guillaume
Lambourne, Nicholas
Foley, Ben
Sanders-Dwyer, Rahasya
Wiles, Janet
Alexis, Michaud
Guillaume, Séverine
Besacier, Laurent
Cox, Christopher
Aplonova, Katya
Jacques, Guillaume
Hill, Nathan W.
title User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
publisher ComputEL
publishDate 2021
url https://eprints.soas.ac.uk/34552/