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Using spectral coherence between temporal envelope and mouth movements to reveal rhythmic regularities in speech


He, Lei (2023). Using spectral coherence between temporal envelope and mouth movements to reveal rhythmic regularities in speech. In: 20th International Congress of Phonetic Sciences, Prague, 7 August 2023 - 11 August 2023.

Abstract

This paper features a method to characterize the rhythmicity in speech from the temporal envelope and mouth opening-closing movements using spectral coherence [He (2022) J. Acoust. Soc. Am. 152, 567–579]. Such a coherence reveals the joint regularities in both domains of signals. For illustrations, recordings from both L1 and L2 English utterances are used for comparisons. The recordings utilized for this Prosody Visualization Challenge (PVC-2023) have been chosen from the EMA-MAE corpus [1],1 which is openly accessible. As such, there are no ethical concerns associated with their current scientific and not-for-profit usage.

Abstract

This paper features a method to characterize the rhythmicity in speech from the temporal envelope and mouth opening-closing movements using spectral coherence [He (2022) J. Acoust. Soc. Am. 152, 567–579]. Such a coherence reveals the joint regularities in both domains of signals. For illustrations, recordings from both L1 and L2 English utterances are used for comparisons. The recordings utilized for this Prosody Visualization Challenge (PVC-2023) have been chosen from the EMA-MAE corpus [1],1 which is openly accessible. As such, there are no ethical concerns associated with their current scientific and not-for-profit usage.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:11 August 2023
Deposited On:17 Jan 2024 15:43
Last Modified:17 Jan 2024 15:43
OA Status:Green
  • Content: Published Version
  • Language: English