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Voice matching in sung duos: Is it related to spectrum envelopes?
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH. (Music Acoustics)ORCID iD: 0009-0002-2931-3871
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-3362-7518
University of Oslo, Norway. (RITMO Centre)ORCID iD: 0000-0002-5976-0624
2023 (English)In: The Journal of the Acoustical Society of America, 2023, Vol. 154Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Choir singers report anecdotally that two voices can be perceived as a good match for each other, or not. Could '€œmatching voices'€ be explained by the spectrum envelopes? Thirteen singers sang a duo in unison or canon with an adjacent prerecorded reference singer, in a moderately reverberant room. Singers controlled the stimulus timbre, using variable filters in medium and high frequency bands. They were asked to adjust the filters, while singing, for '€œbest'€ and '€œworst'€ perceived matching. The singers then performed the song again, but with the filters automatically set to their chosen (dis-)preferences. The Self-to-Other ratio as a function of frequency [SOR(f)] at the ipsilateral ear of the participant was estimated from multiple microphone signals to predict separately the long-time average spectra of Self and Other. Most participants rated the sound with extreme filter settings at ±15 dB as the €œ'worst'€ match, while “best” matches were fairly evenly distributed. Some but not all participants preferred the spectra to be complementary. However, at low frequencies, SOR(f) was about +10 dB, and very irregular but rarely negative at medium and high frequencies; so how an adjacent singer can be heard at all will require further investigation.

Place, publisher, year, edition, pages
2023. Vol. 154
Keywords [en]
choir, self-to-other ratio, singing, duo, voice matching
National Category
Other Engineering and Technologies Fluid Mechanics Signal Processing
Research subject
Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-354944DOI: 10.1121/10.0023747OAI: oai:DiVA.org:kth-354944DiVA, id: diva2:1906420
Conference
Acoustics 2023, Sydney, Australia
Note

This presentation was awarded the title of 2nd best student paper in Music Acoustics.

QC 20241017

Available from: 2024-10-17 Created: 2024-10-17 Last updated: 2025-02-18Bibliographically approved

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Kittimathaveenan, KajornsakTernström, Sten

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