Análisis de estrés en la voz utilizando coeficientes cepstrales de Mel y máquina de vectores de soporte
Voice analysis can be done in multiple ways, this processes have evolved through ages, becoming more complex and diversifying the utility of them, Nowadays procedures like detection, recognisement or clasification are based on analyses of the sound signal. This project addresses the recent need of m...
- Autores:
-
Toro Cerón, Luis Gabriel
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad de San Buenaventura
- Repositorio:
- Repositorio USB
- Idioma:
- spa
- OAI Identifier:
- oai:bibliotecadigital.usb.edu.co:10819/6041
- Acceso en línea:
- http://hdl.handle.net/10819/6041
- Palabra clave:
- Análisis de estrés en la voz
Coeficientes Cepstrales en las Frecuencias de Mel,
Máquina de Vectores de Soporte
Aprendizaje automático
Voice stress analysis
Mel Frecuency Cepstral Coefficients
Support Vector Machine
Machine Learning
Estrés
Voz
Aprendizaje automático
Procesamiento de señales
Análisis de señales
Algoritmos
- Rights
- License
- Atribución-NoComercial-SinDerivadas 2.5 Colombia
| Summary: | Voice analysis can be done in multiple ways, this processes have evolved through ages, becoming more complex and diversifying the utility of them, Nowadays procedures like detection, recognisement or clasification are based on analyses of the sound signal. This project addresses the recent need of making processes that were initially considered subjectives, automatically, taking into a count of the different factors that might influence them, and always being forward to improve and contribute to the existing processes. The importance of it lies on the versatility of the algorythms, that can be used as well in different areas and for different purposes such as the field of medicine, humanities, social sciences and technology |
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