<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper describes a new Slovak speech recognition dedicated corpus built from TEDx talks and Jump Slovakia lectures. The proposed speech database consists of 220 talks and lectures in total duration of about 58 hours. Annotated speech database was generated automatically in an unsupervised manner by using acoustic speech segmentation based on principal component analysis and automatic speech transcription using two complementary speech recognition systems. The evaluation data consisting of 50 manually annotated talks and lectures in total duration of about 12 hours, has been created for evaluation of the quality of Slovak speech recognition. By unsupervised automatic annotation of TEDx talks and Jump Slovakia lectures we have obtained 21.26% of new speech segments with approximately 9.44% word error rate, suitable for retraining or adaptation of acoustic models trained beforehand.</p></abstract>

This paper describes a new Slovak speech recognition dedicated corpus built from TEDx talks and Jump Slovakia lectures. The proposed speech database consists of 220 talks and lectures in total duration of about 58 hours. Annotated speech database was generated automatically in an unsupervised manner by using acoustic speech segmentation based on principal component analysis and automatic speech transcription using two complementary speech recognition systems. The evaluation data consisting of 50 manually annotated talks and lectures in total duration of about 12 hours, has been created for evaluation of the quality of Slovak speech recognition. By unsupervised automatic annotation of TEDx talks and Jump Slovakia lectures we have obtained 21.26% of new speech segments with approximately 9.44% word error rate, suitable for retraining or adaptation of acoustic models trained beforehand.

TEDxSK and JumpSK: A New Slovak Speech Recognition Dedicated Corpus

Faculty of Electrical Engineering and Informatics

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"TEDxSK and JumpSK: A New Slovak Speech Recognition Dedicated Corpus"}

This paper describes a new Slovak speech recognition dedicated corpus built from TEDx talks and Jump Slovakia lectures. The proposed speech database consists...

TEDxSK and JumpSK: A New Slovak Speech Recognition Dedicated Corpus

Publié en ligne: 24 janv. 2018

Pages: 346 - 354

DOI: https://doi.org/10.1515/jazcas-2017-0044

Mots clés
automatic annotation, speech recognition, speech corpus

© 2017 Ján Staš et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

TEDxSK and JumpSK: A New Slovak Speech Recognition Dedicated Corpus

Publié en ligne: 24 janv. 2018

Pages: 346 - 354

DOI: https://doi.org/10.1515/jazcas-2017-0044

Mots clésautomatic annotation, speech recognition, speech corpus

© 2017 Ján Staš et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
automatic annotation, speech recognition, speech corpus