@inproceedings{burkhardt-2012-fast,
title = "Fast Labeling and Transcription with the Speechalyzer Toolkit",
author = "Burkhardt, Felix",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/110_Paper.pdf",
pages = "196--200",
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.",
}
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%0 Conference Proceedings
%T Fast Labeling and Transcription with the Speechalyzer Toolkit
%A Burkhardt, Felix
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F burkhardt-2012-fast
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/110_Paper.pdf
%P 196-200
Markdown (Informal)
[Fast Labeling and Transcription with the Speechalyzer Toolkit](http://www.lrec-conf.org/proceedings/lrec2012/pdf/110_Paper.pdf) (Burkhardt, LREC 2012)
ACL