A PHONEME CLASSIFICATION USING PCA AND SSOM METHODS FOR A CHILDREN DISORDER SPEECH ANALYSIS


Mathematical-engineering methods described in the paper are oriented towards the analysis of disordered children’s speech with the diagnosis of Developmental Dysphasia (DD). The paper is divided into three parts. The first one shows briefly our aim to classify consonants using Supervised Self-Organizing Maps (SSOM). The second part is about phoneme parameterization using Mel-Frequency-Cepstral-Coefficients (MFCC), Linear-Predictive-Coding coefficients (LPC) with Principal Component Analysis (PCA). A possibility of clusters visualization is used for a monitoring of disorder proportions and therapy success. The last part describes the importance of vocalic triangle for children with DD and connects the formant frequencies with the second part of the paper.

Keywords:
phoneme detection, children speech, PCA, SSOM, vocalic triangle


Autoři: Josef Vavrina;  Pavel Grill;  Vaclav Olsansky;  Jana Tuckova
Působiště autorů: Czech Technical University, Prague, Czech Republic
Vyšlo v časopise: Lékař a technika - Clinician and Technology No. 2, 2012, 42, 85-88
Kategorie: Conference YBERC 2012

Souhrn

Mathematical-engineering methods described in the paper are oriented towards the analysis of disordered children’s speech with the diagnosis of Developmental Dysphasia (DD). The paper is divided into three parts. The first one shows briefly our aim to classify consonants using Supervised Self-Organizing Maps (SSOM). The second part is about phoneme parameterization using Mel-Frequency-Cepstral-Coefficients (MFCC), Linear-Predictive-Coding coefficients (LPC) with Principal Component Analysis (PCA). A possibility of clusters visualization is used for a monitoring of disorder proportions and therapy success. The last part describes the importance of vocalic triangle for children with DD and connects the formant frequencies with the second part of the paper.

Keywords:
phoneme detection, children speech, PCA, SSOM, vocalic triangle


Zdroje

[1] Tuckova, J., Komarek, V. Effectiveness of speech analysis by self-organizing maps in children with developmental language disorders. Neuroendocrinology Letters, 2009, 29 (6), 939–948

[2] Dlouha, O., Novak, A., Vokral, J. Central Auditory Processing Disorder (CAPD) in Children with Specific Language Impairment (SLI). In Int. Journal of Pediatric Otorhinolaryngology,2007, 71 (6), 903-907.

[3] Psutka, J., Muller, L., Matousek, J., Radová, V.: Mluvíme s počítačem česky, Academia Praha, 2006, ISBN 80-200-0203-0.

[4] Introduction to Machine Learning, Ethem ALPAYDIN, The MIT Press, October 2004, ISBN 0-262-01211-1.

[5] Kohonen, T. Self-Organizing Maps, Springer–Verlag, 3rd edition, 2001.

[6] Vesanto, J., Himberg,J., Alhoniemi, E., Parhankangas J., 2000. SOM Toolbox for Matlab 5, Helsinki University of Technology, ISBN 951-22-4951-0. www.cis.hut.fi/projects/somtoolbox

[7] Palkova, Z. Fonetika a fonologie češtiny. Univerzita Karlova, Praha 1994, ISBN 80-7066-843-1.

[8] Zetocha, P. Design and realization of children speech database. Ministry of Education grant FRVS, No.2453/2008.

[9] Grill, P., Tuckova,J., FORANA. In: Proc. of the Int. Conf. on Technical Computing Prague 2009. Humusoft, Praha, 2009, pp. 32- 39. ISBN 978-80-7080-733-0.

[10 ] PRAAT: doing phonetics by computer http://www.fon.hum.uva.nl/praat/.

[11] Tuckova, J., Bártů, M., Zetocha, P. Aplikace umělých neuronových sítí při zpracování signal. Česká technika, 2009, Praha. ISBN 978-80-01-04400-1.

[12] Tuckova, J., Santarius, J. Neural Network Program Package for Prosody Modelling. In: Radioengineering, April 2004, 13 (1),17-21, ISSN: 1210-2512.

Štítky
Biomedicína
Článek Editorial

Článok vyšiel v časopise

Lékař a technika

Číslo 2

2012 Číslo 2

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