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Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech

par Kacha, Abdellah ;Grenez, Francis ;Orozco-Arroyave, Juan Rafael;Schoentgen, Jean
Référence Computer speech & language, 59, page (114-122)
Publication Publié, 2020-01-01

Article révisé par les pairs

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Résumé :

The article concerns the interpretation of the principal components of the spectrogram of the speech signal and its application to the description of dysarthric speech. Each principal component is a linear combination of the frame spectra. We show that the first principal component of the spectrogram is closely related to the long-term average spectrum (LTAS) and the second principal component is the difference of two weighted sums of frame spectra reporting open and close vowel frame spectra respectively. We investigate articulation deficits in dysarthric speakers via cues obtained from principal components of the spectrogram of connected speech because long-term average spectra have been claimed to inform about speaker settings of the vocal tract.