Disordered sound repetition recognition in continuous speech using CWT and Kohonen network

• Autorzy: Codello I. , Kuniszyk-Jóźkowiak W. , Smołka E. , Kobus A.
• Języki publikacji: EN

Abstrakty

EN

Automatic disorders recognition in speech can be very helpful for therapist while monitoring therapy progress of patients with disordered speech. This article is focused on sound repetitions. The signal is analyzed using Continuous Wavelet Transform with 16 bark scales, the result is divided into vectors and passed into Kohonen network. Finally, the Kohonen winning neuron result is put on the 3-layer perceptron. The recognition ratio was increased by about 20% by adding a modification into the Kohonen network training process as well as into CWT computation algorithm. All the analysis was performed and the results were obtained using the authors' program ”WaveBlaster“, The problem presented in this article is a part of our research work aimed at creating an automatic disordered speech recognition system.

Słowa kluczowe

EN

Kohonen network; automatic disorders speech recognition; waveblaster; CWT; continuous wavelet transform (CWT); Bark scale; sound repetition

PL

sieć Kohonena; zaburzenia automatycznego rozpoznawania mowy; ciągła transformata falkowa; skala Barka; powtarzanie dźwięku

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2011
• Tom: Vol. 17
• Strony: 123--130
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Codello I.

autor

Kuniszyk-Jóźkowiak W.

autor

Smołka E.

autor

Kobus A.

Bibliografia

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