Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/27869| Author(s): | Hämäläinen, A. Moreira, F. P. Avelar, J. Braga, D. Dias, M. S. |
| Editor: | Hartmann, B., and Horvitz, E. |
| Date: | 2013 |
| Title: | Transcribing and annotating speech corpora for speech recognition: A three-step crowdsourcing approach with quality control |
| Volume: | WS-13-18 |
| Book title/volume: | Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 |
| Pages: | 30 - 31 |
| Event title: | 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 |
| Reference: | Hämäläinen, A., Moreira, F. P., Avelar, J., Braga, D., & Dias, M. S. (2013). Transcribing and annotating speech corpora for speech recognition: A three-step crowdsourcing approach with quality control. In B. Hartmann, & E. Horvitz (Eds.), Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 (vol. WS-13-18, pp. 30-31). AAAI Press. https://doi.org/10.1609/hcomp.v1i1.13102 |
| ISBN: | 978-1-57735-607-3 |
| DOI (Digital Object Identifier): | 10.1609/hcomp.v1i1.13102 |
| Keywords: | Automatic speech recognition Speech corpora Transcription Annotation Crowdsourcing |
| Abstract: | Large speech corpora with word-level transcriptions annotated for noises and disfluent speech are necessary for training automatic speech recognisers. Crowdsourcing is a lower-cost, faster-turnaround, highly scalable alternative for expert transcription and annotation. In this paper, we showcase our three-step crowdsourcing approach motivated by the importance of accurate transcriptions and annotations. |
| Peerreviewed: | yes |
| Access type: | Open Access |
| Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| conferenceobject_16895.pdf | 482,85 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.