Abstract
This article presents an overview of the existing acoustical corpuses suitable for broadcast news automatic transcription task in the Slovak language. The TUKE-BNews-SK database created in our department was built to support the application development for automatic broadcast news processing and spontaneous speech recognition of the Slovak language. The audio corpus is composed of 479 Slovak TV broadcast news shows from public Slovak television called STV1 or Jednotka containing 265 hours of material and 186 hours of clean transcribed speech (4 hours subset extracted for testing purposes). The recordings were manually transcribed using Transcriber tool modified for Slovak annotators and automatic Slovak spell checking. The corpus design, acquisition, annotation scheme and pronunciation transcription is described together with corpus statistics and tools used. Finally the evaluation procedure using automatic speech recognition is presented on the broadcast news and parliamentary speeches test sets.- Anthology ID:
- L14-1535
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1709–1713
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/680_Paper.pdf
- DOI:
- Cite (ACL):
- Matúš Pleva and Jozef Juhár. 2014. TUKE-BNews-SK: Slovak Broadcast News Corpus Construction and Evaluation. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1709–1713, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- TUKE-BNews-SK: Slovak Broadcast News Corpus Construction and Evaluation (Pleva & Juhár, LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/680_Paper.pdf