Abstract
Simulation of sentence-level speech based on measured vocal tract area functions
The Journal of the Acoustical Society of America, Vol.103(5_Supplement), pp.3056-3056
05/01/1998
DOI: 10.1121/1.422672
Abstract
An inventory of vocal tract area functions, acquired from magnetic resonance imaging experiments, is used as the basis for creating simulations of sentence-level speech. A first approach is a ‘‘brute-force’’ method in which a phonetic transcription of a sentence is time aligned with the recorded acoustic signal. Each element of the transcription is assigned one of the stored vocal tract area functions in the acquired inventory, thus serving as a ‘‘target’’ through which the time-varying area function should pass. This method has produced intelligible speech but maintains a machinelike quality. A second approach uses a parametric representation of the MRI-acquired area function inventory based on a principal components analysis to generate area functions not in the original inventory. The first three formants of each generated area function were computed and stored in a database, thus creating a mapping between formant frequencies and vocal tract parameters (area functions). Except for the edge of the formant space, the mapping between formants and area functions is one-to-one. This method produces connected speech with natural sounding vowels when only a microphone signal is used but requires additional signals to derive the consonantal contribution to the vocal tract shape. [Supported by NIH grant RO1 DC02532.]
Details
- Title: Subtitle
- Simulation of sentence-level speech based on measured vocal tract area functions
- Creators
- Brad Story - Denver Center for the Performing ArtsIngo Titze - Denver Center for the Performing ArtsRussel Long - Denver Center for the Performing Arts
- Resource Type
- Abstract
- Publication Details
- The Journal of the Acoustical Society of America, Vol.103(5_Supplement), pp.3056-3056
- DOI
- 10.1121/1.422672
- ISSN
- 0001-4966
- eISSN
- 1520-8524
- Language
- English
- Date published
- 05/01/1998
- Academic Unit
- School of Music; Communication Sciences and Disorders
- Record Identifier
- 9984719564802771
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