@inproceedings{salvi-vanhainen-2014-wavesurfer,
title = "The {W}ave{S}urfer Automatic Speech Recognition Plugin",
author = "Salvi, Giampiero and
Vanhainen, Niklas",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/533_Paper.pdf",
pages = "3067--3071",
abstract = "This paper presents a plugin that adds automatic speech recognition (ASR) functionality to the WaveSurfer sound manipulation and visualisation program. The plugin allows the user to run continuous speech recognition on spoken utterances, or to align an already available orthographic transcription to the spoken material. The plugin is distributed as free software and is based on free resources, namely the Julius speech recognition engine and a number of freely available ASR resources for different languages. Among these are the acoustic and language models we have created for Swedish using the NST database.",
}
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%0 Conference Proceedings
%T The WaveSurfer Automatic Speech Recognition Plugin
%A Salvi, Giampiero
%A Vanhainen, Niklas
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F salvi-vanhainen-2014-wavesurfer
%X This paper presents a plugin that adds automatic speech recognition (ASR) functionality to the WaveSurfer sound manipulation and visualisation program. The plugin allows the user to run continuous speech recognition on spoken utterances, or to align an already available orthographic transcription to the spoken material. The plugin is distributed as free software and is based on free resources, namely the Julius speech recognition engine and a number of freely available ASR resources for different languages. Among these are the acoustic and language models we have created for Swedish using the NST database.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/533_Paper.pdf
%P 3067-3071
Markdown (Informal)
[The WaveSurfer Automatic Speech Recognition Plugin](http://www.lrec-conf.org/proceedings/lrec2014/pdf/533_Paper.pdf) (Salvi & Vanhainen, LREC 2014)
ACL
- Giampiero Salvi and Niklas Vanhainen. 2014. The WaveSurfer Automatic Speech Recognition Plugin. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3067–3071, Reykjavik, Iceland. European Language Resources Association (ELRA).