Identificación automática de características cualitativas del llanto infantil
In infant cry analysis, the identification of qualitative characteristics is of great importance, because this provides additional information that allows to identify variations and similarities between normal and pathological cries. Nowadays, the analysis of qualitative characteristics is made manu...
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| Formato: | tesis de maestría |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2011 |
| País: | México |
| Recursos: | Instituto Nacional de Astrofísica, Óptica y Electrónica |
| Repositorio: | Repositorio Institucional del INAOE |
| Idioma: | español |
| OAI Identifier: | oai:inaoe.repositorioinstitucional.mx:1009/722 |
| Acesso em linha: | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/722 |
| Access Level: | acceso abierto |
| Palavra-chave: | info:eu-repo/classification/Procesamiento de la señal/Signal processing info:eu-repo/classification/Reconocimiento de patrones/Pattern recognition info:eu-repo/classification/Procesamiento de señal acústica/Acoustic signal processing info:eu-repo/classification/Reconocimiento de voz/Speech recognition info:eu-repo/classification/Análisis del llanto/Cry analysis info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/12 info:eu-repo/classification/cti/1203 |
| Resumo: | In infant cry analysis, the identification of qualitative characteristics is of great importance, because this provides additional information that allows to identify variations and similarities between normal and pathological cries. Nowadays, the analysis of qualitative characteristics is made manually, through visual (spectrogram) and auditive (sound) perception of medical experts, they make a diagnosis according to what they see and hear. In this work, we present a method based in the use of a threshold, this threshold is applied to the energy of the signal, our method allows detect automatically cry units of a record, and another threshold, which eliminates the inspiratory segments. Also we present the dodecagram method, which allows identify the type of melody, shifts, glides, and noise concentrations reasonably in cry units automatically. Finally, in accordance to the qualitative characteristics found, the method automatically provides a diagnosis of the analyzed cry, which can be: normal cry or cry with a pathological tendency. |
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