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

English version České info

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

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

Zdroje

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