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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 fo 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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Nombre congreso
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BIOSIGNALS 2009 |
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Tipo de participación
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960 |
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Lugar del congreso
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Porto, Portugal |
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Revisores
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Si |
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ISBN o ISSN
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978-989-8111-65-4 |
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DOI
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Fecha inicio congreso
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14/01/2009 |
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Fecha fin congreso
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17/01/2009 |
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Desde la página
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41 |
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Hasta la página
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48 |
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Título de las actas
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Second International Conference on Bio-inspired Systems and Signal Processing |