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Descripción
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| Advances in speech signal analysis during the last decade have allowed the development of automatic algorithms for a non-invasive detection of laryngeal pathologies. Performance assessment of such techniques reveals that classification success rates over 90 % are achievable. Bearing in mind the extension of these automatic methods to remote diagnosis scenarios, this paper analyses the performance of a pathology detector based on Mel Frequency Cepstral Coefficients when the speech signal has undergone the distortion of an analogue communications channel, namely the phone channel. Such channel is modeled as a concatenation of linear effects. It is shown that while the overall performance of the system is degraded, success rates in the range of 80% can still be achieved. This study also shows that the performance degradation is mainly due to band limitation and noise addition. | |
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Internacional
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Si |
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DOI
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10.1007/978-3-642-11721-3_13 |
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Edición del Libro
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0 |
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Editorial del Libro
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SpringerLink |
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ISBN
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978-3-642-11720-6 |
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Serie
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Computer Science |
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Título del Libro
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Biomedical Engineering Systems and Technologies. Communications in Computer and Information Science |
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Desde página
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173 |
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Hasta página
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186 |