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Speech Rate Calculations with Short Utterances: A Study from a Speech-to-Speech, Machine Translation Mediated Map Task

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

DOI:10.63317/3rh5z4mgtirg

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.

Details

Paper ID
lrec2018-main-502
Pages
N/A
BibKey
hayakawa-etal-2018-speech
Editors
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-00-9
Conference
Eleventh International Conference on Language Resources and Evaluation
Location
Miyazaki, Japan
Date
7 - 12 May 2018

Authors

  • AH

    Akira Hayakawa

  • CV

    Carl Vogel

  • SL

    Saturnino Luz

  • NC

    Nick Campbell

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