A Fractal-based Approach for Speech Segmentation

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Fantinato, Paulo Cesar ; Guido, Rodrigo Capobianco ; Chen, Shi-Huang ; Silveira Santos, Bruno Leonardo ; Vieira, Lucimar Sasso ; Barbon Junior, Sylvio ; Rodrigues, Luciene Cavalcanti ; Sanchez, Fabricio Lopes ; Lemos Escola, Joao Paulo ; Souza, Leonardo Mendes ; Maciel, Carlos Dias ; Scalassara, Paulo Rogerio ; Pereira, Jose Carlos ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: ISM: 2008 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA; v. N/A, p. 2-pg., 2008-01-01.

Resumo

Nowadays, fractal analysis has been successfully applied to digital speech processing, particularly for word and phoneme segmentation, which represents one of the fundamental steps in automatic speech recognition systems. The practical use of fractal analysis for this purpose should match two principles: low computational cost, to allow the use in real-time, and accuracy in the results, in order to produce a satisfactoly segmentation, sending the correct data to the classifier Aiming at meeting these two requirements, this work proposes a technique for speech segmentation based on the fractal dimension, which is obtained by using the discrete wavelet transform that avoids the use of 1/k pre-filtering. Many families of wavelets are presented and compared, and the results assure the efficacy of the proposed method. (AU)

• Processo FAPESP: 05/00015-1 - Speechauth: desenvolvimento de um sistema para autenticação biométrica e interpretação de comandos através da análise de sinais de voz
• Beneficiário: Rodrigo Capobianco Guido
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores