Wavelet-based cepstrum calculation
Autor: | Rodrigo Capobianco Guido, Carlos Dias Maciel, Paulo Rogério Scalassara, Fabrício Lopes Sanchez, Lucimar Sasso Vieira, José Carlos Pereira, Júnior Sylvio Barbon, Shi-Huang Chen, Everthon Silva Fonseca |
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Přispěvatelé: | Sanchez, Fl, Barbon Junior, S, Vieira, L, Guido, Rc, Fonseca, E, Scalassara, Pr, Maciel, Cd, Pereira, Jc, Chen, Sh |
Jazyk: | angličtina |
Rok vydání: | 2009 |
Předmět: |
business.industry
Applied Mathematics Stationary wavelet transform Wavelet transform Cascade algorithm Pattern recognition Speaker recognition Pitch period Wavelet packet decomposition Computational Mathematics Wavelet ComputingMethodologies_PATTERNRECOGNITION Cepstrum Speech analysis Artificial intelligence Mel-frequency cepstrum business Algorithm Mathematics |
Popis: | In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It can be used for real time precise pitch determination in automatic speech and speaker recognition systems. Many wavelet families are examined to determine the one that works best. The results confirm the efficacy and accuracy of the proposed technique for pitch extraction. (C) 2008 Elsevier B.V. All rights reserved. |
Databáze: | OpenAIRE |
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