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Visualizing punctuation restoration in speech transcripts with prosograph

Author
Oktem, A.; Farrús, M.; Bonafonte, A.
Type of activity
Presentation of work at congresses
Name of edition
19th Annual Conference of the International Speech Communication
Date of publication
2018
Presentation's date
2018-09-01
Book of congress proceedings
Interspeech 2018: 2-6 September 2018, Hyderabad
First page
1493
Last page
1494
Publisher
International Speech Communication Association (ISCA)
DOI
10.21437/Interspeech.2018-3028
Repository
http://hdl.handle.net/2117/123861 Open in new window
URL
https://www.isca-speech.org/archive/Interspeech_2018/pdfs/3028.pdf Open in new window
Abstract
We have developed a neural architecture that tests the effect of lexical, morphosyntactic and prosodic features in restoring punctuation in speech transcriptions. Having outperformed a baseline model in terms of precision and recall, we further extend our performance tests by attaching it in a speech recognition pipeline. The visual and interactive testing environment that we prepared helps us observe how our models generalizes in unseen data and also plan our next steps for improvement.
Citation
Oktem, A., Farrús, M., Bonafonte, A. Visualizing punctuation restoration in speech transcripts with prosograph. A: Annual Conference of the International Speech Communication Association. "Interspeech 2018: 2-6 September 2018, Hyderabad". Baixas: International Speech Communication Association (ISCA), 2018, p. 1493-1494.
Keywords
Automatic speech recognition, Neural architectures, Precision and recall, Prosody, Punctuation, Speech communication, Speech processing, Speech recognition, Speech transcriptions, Speech transcripts, Speech transmission, Testing environment, Transcription
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

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