Fast Labeling and Transcription with the Speechalyzer Toolkit

Felix Burkhardt


Abstract
We describe a software tool named “Speechalyzer” which is optimized to process large speech data sets with respect to transcription, labeling and annotation. It is implemented as a client server based framework in Java and interfaces software for speech recognition, synthesis, speech classification and quality evaluation. The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on speech to text, text to speech and speech categorization software systems.
Anthology ID:
L12-1003
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
196–200
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/110_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Felix Burkhardt. 2012. Fast Labeling and Transcription with the Speechalyzer Toolkit. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 196–200, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Fast Labeling and Transcription with the Speechalyzer Toolkit (Burkhardt, LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/110_Paper.pdf