Speech Rate Calculations with Short Utterances: A Study from a Speech-to-Speech, Machine Translation Mediated Map Task
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2018Access:
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Akira, H., Vogel, C., Luz, S. & Campbell, N., Speech Rate Calculations with Short Utterances: A Study from a Speech-to-Speech, Machine Translation Mediated Map Task, European Language Resources Association (ELRA), 2018Download Item:
LREC2018-AVLC-1064.pdf (PDF) 620.8Kb
Abstract:
The motivation for this paper is to present a way to verify if an utterance within a corpus is pronounced at a fast or slow pace. An
alternative method to the well-known Word-Per-Minute (wpm) method for cases where this approach is not applicable. For long
segmentations, such as the full introduction section of a speech or presentation, the measurement of wpm is a viable option. For short
comparisons of the same single word or multiple syllables, Syllables-Per-Second (sps) is also a viable option. However, when there are
multiple short utterances that are frequent in task oriented dialogues or natural free flowing conversation, such as those of the direct
Human-to-Human dialogues of the HCRC Map Task corpus or the computer mediated inter-lingual dialogues of the ILMT-s2s corpus,
it becomes difficult to obtain a meaningful value for the utterance speech rate. In this paper we explain the method used to provide a
alternative speech rate value to the utterance of the ILMT-s2s corpus and the HCRC Map Task corpus.
URI:
http://www.lrec-conf.org/proceedings/lrec2018/summaries/1064.htmlhttp://hdl.handle.net/2262/91668
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/RC/2106
Science Foundation Ireland (SFI)
12/CE/I2267
Author's Homepage:
http://people.tcd.ie/vogelhttp://people.tcd.ie/nick
Other Titles:
Eleventh International Conference on Language Resources and Evaluation (LREC 2018)Publisher:
European Language Resources Association (ELRA)Type of material:
Conference PaperURI:
http://www.lrec-conf.org/proceedings/lrec2018/summaries/1064.htmlhttp://hdl.handle.net/2262/91668
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Full text availableSubject (TCD):
Digital Engagement , Digital Humanities , Computational linguistics , DIALOG , Discourse & Dialogue , Machine Translation , interaction analysisLicences: