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Convention Paper

A New Algorithm for Vocal Tract Shape Extraction from Singer's Waveforms

Authors: Vos, Rebecca; Angus, Jamie A. S.; Story, Brad H.

AES Convention 136 · Paper 9073 · April 2014

Abstract

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.

Details

Published in
AES Convention 136
AES Convention
136
Paper number
9073
Publication date
April 6, 2014
Session subject
Human Factors
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.)
Type
Convention Paper