Developing State-of-the-Art End-to-End ASR for Norwegian
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F23%3A00012033" target="_blank" >RIV/46747885:24220/23:00012033 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/abs/10.1007/978-3-031-40498-6_18" target="_blank" >https://dl.acm.org/doi/abs/10.1007/978-3-031-40498-6_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-40498-6_18" target="_blank" >10.1007/978-3-031-40498-6_18</a>
Alternative languages
Result language
angličtina
Original language name
Developing State-of-the-Art End-to-End ASR for Norwegian
Original language description
We present the process of developing a modern end-to-end (E2E) automatic speech recognition (ASR) system for Norwegian (NO), which is a challenging language with many dialects and two written standards (Bokmål and Nynorsk). Since the existing speech corpora for this language are severely limited, we have had to acquire large amounts of additional data. This acquisition has been done by automatic processing of publicly accessible broadcast and parliament archives, YouTube and podcast channels, and also audiobooks. The data-harvesting process has been controlled by the ASR system, whose model has continuously been updated on the extracted chunks of speech. The final model has been trained on 1,246 h of Norwegian and further enhanced by transfer learning from an existing Swedish model. The performance of the ASR system has been evaluated on an 18-h collection of test sets (most of them publicly available) representing different application areas. Our best word error rate (WER) achieved on this collection is 7.6%, which is better than the results obtained from Google and Microsoft cloud services.
Czech name
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Czech description
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Classification
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)
Result continuities
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)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science - including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
ISBN
978-303140497-9
ISSN
03029743
e-ISSN
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Number of pages
14
Pages from-to
200-213
Publisher name
Springer Science and Business
Place of publication
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Event location
Plzeň, ČR
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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