Segmentação de voz baseada na análise fractal e na transformada wavelet. / Speech segmentation based on fractal analysis and wavelet transform.
AUTOR(ES)
Paulo César Fantinato
DATA DE PUBLICAÇÃO
2008
RESUMO
Nowadays, fractal analysis has been successfully applied to digital speech processing, particularly for words and phonemes segmentation, which represents one of the fundamental steps in automatic speech recognition and speaker identification systems. The practical use of fractal analysis for these purposes should match two principles: low computational cost, to allow use in real-time, and accuracy in the results, to produce a correct segmentation, delivering consistent data to the classifier. Aiming at meeting these two requirements, this work proposes a technique for speech segmentation based on the fractal dimension, obtained by using the discrete wavelet transform (DWT). Many families of wavelets were tested and compared, being the experiments performed with speech data collected from TIMIT corpus provided by the Linguistic Data Consortium.
ASSUNTO(S)
1. speech 2. fractals 3. wavelets 1. voz. 2. fractais. 3. wavelets.
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