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This paper presents a new algorithm for extracting vocal tract shape from speech or singing. Based on acoustic sensitivity functions it removes the ambiguity that conventional methods suffer from. We describe acoustic sensitivity functions and how we extract the necessary formant frequencies from the acoustic waveform. Results are presented for a variety of singers both male and female singing a variety of vowels and notes. The results are good and the system not only has applications in voice training but could also be used for control of games or music synthesis.
Author (s): Vos, Rebecca; Angus, Jamie A. S.; Story, Brad H.
Affiliation:
University of York, Heslington, York, UK; University of Salford, Salford, Greater Manchester, UK; University of Arizona, Tucson, AZ, USA
(See document for exact affiliation information.)
AES Convention: 136
Paper Number:9073
Publication Date:
2014-04-06
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Session subject:
Human Factors
Permalink: https://aes2.org/publications/elibrary-page/?id=17220
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Vos, Rebecca; Angus, Jamie A. S.; Story, Brad H.; 2014; A New Algorithm for Vocal Tract Shape Extraction from Singer's Waveforms [PDF]; University of York, Heslington, York, UK; University of Salford, Salford, Greater Manchester, UK; University of Arizona, Tucson, AZ, USA; Paper 9073; Available from: https://aes2.org/publications/elibrary-page/?id=17220
Vos, Rebecca; Angus, Jamie A. S.; Story, Brad H.; A New Algorithm for Vocal Tract Shape Extraction from Singer's Waveforms [PDF]; University of York, Heslington, York, UK; University of Salford, Salford, Greater Manchester, UK; University of Arizona, Tucson, AZ, USA; Paper 9073; 2014 Available: https://aes2.org/publications/elibrary-page/?id=17220