Abstract
This paper presents our current work into developing an evolutionary computing approach to articulatory speech synthesis. Specifically, we implement genetic algorithms to find optimised parameter combinations for the re-synthesis of a vowel using the articulatory synthesiser PRAAT. Our framework analyses the target sound using Fast Fourier Transform (FFT) to obtain formant information, which is then harnessed in a fitness function applied to a real valued genetic algorithm using a generation size of 75 sounds over 50 generations. In this paper, we present three differently configured genetic algorithms (GAs) and offer a comparison of their suitability for elevating the average fitness of the re-synthesised sounds.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shadle, C., Damper, R.: Prospects for articulatory synthesis: a position paper. In: 4th ISCA Tutorial and Research Workshop (2002)
Schroeter, J., Sondhi, M.: Techniques for estimating vocal-tract shapes from the speech signal. IEEE Trans. Speech Audio Process. 2(1), 133–150 (1994)
Kim, Y.C., Kim, J., Proctor, M., Toutios, A., Nayak, K., Lee, S., Narayanan, S.: Toward automatic vocal tract area function estimation from accelerated three-dimensional magnetic resonance imaging. In: ISCA Workshop on Speech Production in Automatic Speech Recognition, Lyon, France, pp. 2–5 (2013)
Busset, J., Laprie, Y., Cnrs, L., Botanique, J.: Acoustic-to-articulatory inversion by analysis-by-synthesis using cepstral coefficients. In: ICA - 21st International Congress on Acoustics, vol. 2013 (2013)
Holland, J.H.: Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press, Ann Arbor (1975)
Goldberg, D.E.: Others: genetic algorithms in search, optimization, and machine learning, vol. 412. Addison-wesley, Reading (1989)
Miranda, E.R., Al Biles, J.: Evolutionary Computer Music. Springer, London (2007)
Horner, A., Beauchamp, J., Haken, L.: Machine tongues XVI: genetic algorithms and their application to FM matching synthesis. Comput. Music J. 17(4), 17–29 (1993)
Mitchell, T.J.: An exploration of evolutionary computation applied to frequency modulation audio synthesis parameter optimisation. Ph.D. thesis, University of the West of England (2010)
Boersma, P.: Praat, a system for doing phonetics by computer. Glot Int. 5(9/10), 341–345 (2001)
Boersma, P.: Functional phonology: Formalizing the interactions between articulatory and perceptual drives. Holland Academic Graphics/IFOTT (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Drayton, J., Miranda, E. (2015). Towards an Evolutionary Computational Approach to Articulatory Vocal Synthesis with PRAAT. In: Johnson, C., Carballal, A., Correia, J. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2015. Lecture Notes in Computer Science(), vol 9027. Springer, Cham. https://doi.org/10.1007/978-3-319-16498-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-16498-4_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16497-7
Online ISBN: 978-3-319-16498-4
eBook Packages: Computer ScienceComputer Science (R0)