Summary of the paper

Title The WaveSurfer Automatic Speech Recognition Plugin
Authors Giampiero Salvi and Niklas Vanhainen
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.
Topics Tools, Systems, Applications, LR Infrastructures and Architectures
Full paper The WaveSurfer Automatic Speech Recognition Plugin
Bibtex @InProceedings{SALVI14.533,
  author = {Giampiero Salvi and Niklas Vanhainen},
  title = {The WaveSurfer Automatic Speech Recognition Plugin},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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