Development and Evaluation of Speech Recognition for the Welsh Language

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Standard Standard

Development and Evaluation of Speech Recognition for the Welsh Language. / Jones, Dewi.
Proceedings of the CLTW 4 @ LREC2022. European Language Resources Association (ELRA), 2022. p. 52-59.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

HarvardHarvard

Jones, D 2022, Development and Evaluation of Speech Recognition for the Welsh Language. in Proceedings of the CLTW 4 @ LREC2022. European Language Resources Association (ELRA), pp. 52-59. <http://www.lrec-conf.org/proceedings/lrec2022/workshops/CLTW4/pdf/2022.cltw4-1.8.pdf>

APA

Jones, D. (2022). Development and Evaluation of Speech Recognition for the Welsh Language. In Proceedings of the CLTW 4 @ LREC2022 (pp. 52-59). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2022/workshops/CLTW4/pdf/2022.cltw4-1.8.pdf

CBE

Jones D. 2022. Development and Evaluation of Speech Recognition for the Welsh Language. In Proceedings of the CLTW 4 @ LREC2022. European Language Resources Association (ELRA). pp. 52-59.

MLA

Jones, Dewi "Development and Evaluation of Speech Recognition for the Welsh Language". Proceedings of the CLTW 4 @ LREC2022. European Language Resources Association (ELRA). 2022, 52-59.

VancouverVancouver

Jones D. Development and Evaluation of Speech Recognition for the Welsh Language. In Proceedings of the CLTW 4 @ LREC2022. European Language Resources Association (ELRA). 2022. p. 52-59

Author

Jones, Dewi. / Development and Evaluation of Speech Recognition for the Welsh Language. Proceedings of the CLTW 4 @ LREC2022. European Language Resources Association (ELRA), 2022. pp. 52-59

RIS

TY - GEN

T1 - Development and Evaluation of Speech Recognition for the Welsh Language

AU - Jones, Dewi

PY - 2022/6/25

Y1 - 2022/6/25

N2 - This paper reports on ongoing work on developing and evaluating speech recognition models for the Welsh language using data from the Common Voice project and two popular open development kits – HuggingFace wav2vec2 and coqui STT. Activities for ensuring the growth and improvement of the Welsh Common Voice dataset are described. Two applications have been developed – a voice assistant and an online transcription service that allow users and organisations to use the new models in a practical and useful context, but which have also helped source additional test data for better evaluation of recognition accuracy and establishing the optimal selection and configurations of models. Test results suggest that in transcription good accuracy can be achieved for read speech, but further data and research is required for improving recognition results of freely spoken formal and informal speech. Meanwhile a limited domain language model provides excellent accuracy for a voice assistant. All code, data and models produced from this work are freely available.

AB - This paper reports on ongoing work on developing and evaluating speech recognition models for the Welsh language using data from the Common Voice project and two popular open development kits – HuggingFace wav2vec2 and coqui STT. Activities for ensuring the growth and improvement of the Welsh Common Voice dataset are described. Two applications have been developed – a voice assistant and an online transcription service that allow users and organisations to use the new models in a practical and useful context, but which have also helped source additional test data for better evaluation of recognition accuracy and establishing the optimal selection and configurations of models. Test results suggest that in transcription good accuracy can be achieved for read speech, but further data and research is required for improving recognition results of freely spoken formal and informal speech. Meanwhile a limited domain language model provides excellent accuracy for a voice assistant. All code, data and models produced from this work are freely available.

M3 - Conference contribution

SP - 52

EP - 59

BT - Proceedings of the CLTW 4 @ LREC2022

PB - European Language Resources Association (ELRA)

ER -