Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F23%3A00011571" target="_blank" >RIV/46747885:24220/23:00011571 - isvavai.cz</a>

Result on the web

<a href="https://www.isca-archive.org/interspeech_2023/mateju23_interspeech.html" target="_blank" >https://www.isca-archive.org/interspeech_2023/mateju23_interspeech.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Interspeech.2023-737" target="_blank" >10.21437/Interspeech.2023-737</a>

Result language

angličtina

Original language name

Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish

Original language description

In terms of automatic speech recognition (ASR), Swedish belongs to the group of less-resourced languages, as publicly available training data is limited to a few hundred hours of mostly read speech. To acquire larger amounts of more realistic data, we investigate the existing multilingual approaches, and also propose two new ones, which combine Swedish with previously created Norwegian data and models. We use them for efficient automatic harvesting of spoken Swedish from broadcast, parliament, YouTube, and audiobook archives. The combined models significantly speed up the harvesting process and improve the final Swedish end-to-end (E2E) ASR system. We evaluate it on datasets covering various applications and domains; they provide performance better than the state-of-the-art commercial cloud services. We have made all of our test datasets publicly available for future comparative experiments.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/TO01000027" target="_blank" >TO01000027: NORDTRANS - Technology for automatic speech transcription in selected Nordic languages</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

ISBN

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ISSN

2308-457X

e-ISSN

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Number of pages

5

Pages from-to

3252 - 3256

Publisher name

ISCA

Place of publication

Dublin

Event location

Dublin, Irsko

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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