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- W1558049005 abstract "The majority of speech signal analysis procedures for automatic pathology detection mostly rely on parameters extracted from time-domain processing. Moreover, calculation of these parameters often requires prior pitch period estimation; therefore, their validity heavily depends on the robustness of pitch detection. Within this paper, an alternative approach based on cepstral-domain processing is presented which has the advantage of not requiring pitch estimation, thus providing a gain in both simplicity and robustness. While the proposed scheme is similar to solutions based on Mel-frequency cepstral parameters, already present in literature, it has an easier physical interpretation while achieving similar performance standards." @default.
- W1558049005 created "2016-06-24" @default.
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- W1558049005 date "2008-01-01" @default.
- W1558049005 modified "2023-10-02" @default.
- W1558049005 title "USE OF CEPSTRUM-BASED PARAMETERS FOR AUTOMATIC PATHOLOGY DETECTION ON SPEECH - Analysis of Performance and Theoretical Justification" @default.
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- W1558049005 doi "https://doi.org/10.5220/0001059600850091" @default.
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