| Summary: |
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.
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| Other authors: |
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. |
| Language: |
English
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| Published: |
ComputEL
2021
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