A multimodal spectral approach to characterize rhythm in natural speech

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Alexandrou, Anna
dc.contributor.author Saarinen, Timo
dc.contributor.author Kujala, Jan
dc.contributor.author Salmelin, Riitta
dc.date.accessioned 2018-08-01T12:41:58Z
dc.date.available 2018-08-01T12:41:58Z
dc.date.issued 2016
dc.identifier.citation Alexandrou , A , Saarinen , T , Kujala , J & Salmelin , R 2016 , ' A multimodal spectral approach to characterize rhythm in natural speech ' JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA , vol 139 , no. 1 , pp. 215-226 . DOI: 10.1121/1.4939496 en
dc.identifier.issn 0001-4966
dc.identifier.issn 1520-8524
dc.identifier.other PURE UUID: 4fcd6617-4fc2-456f-a1e0-2671c7843da0
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/a-multimodal-spectral-approach-to-characterize-rhythm-in-natural-speech(4fcd6617-4fc2-456f-a1e0-2671c7843da0).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=84954476677&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/26521477/1.4939496.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/32753
dc.description.abstract Human utterances demonstrate temporal patterning, also referred to as rhythm. While simple oromotor behaviors (e.g., chewing) feature a salient periodical structure, conversational speech displays a time-varying quasi-rhythmic pattern. Quantification of periodicity in speech is challenging. Unimodal spectral approaches have highlighted rhythmic aspects of speech. However, speech is a complex multimodal phenomenon that arises from the interplay of articulatory, respiratory, and vocal systems. The present study addressed the question of whether a multimodal spectral approach, in the form of coherence analysis between electromyographic (EMG) and acoustic signals, would allow one to characterize rhythm in natural speech more efficiently than a unimodal analysis. The main experimental task consisted of speech production at three speaking rates; a simple oromotor task served as control. The EMG-acoustic coherence emerged as a sensitive means of tracking speech rhythm, whereas spectral analysis of either EMG or acoustic amplitude envelope alone was less informative. Coherence metrics seem to distinguish and highlight rhythmic structure in natural speech. en
dc.format.extent 12
dc.format.extent 215-226
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Volume 139, issue 1 en
dc.rights openAccess en
dc.subject.other Acoustics and Ultrasonics en
dc.subject.other Arts and Humanities (miscellaneous) en
dc.subject.other 3112 Neurosciences en
dc.title A multimodal spectral approach to characterize rhythm in natural speech en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Neuroscience and Biomedical Engineering
dc.subject.keyword Coherence
dc.subject.keyword Speech analysis
dc.subject.keyword Acoustics and Ultrasonics
dc.subject.keyword Arts and Humanities (miscellaneous)
dc.subject.keyword 3112 Neurosciences
dc.identifier.urn URN:NBN:fi:aalto-201808014153
dc.identifier.doi 10.1121/1.4939496
dc.type.version publishedVersion

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