Automatic Identification of Transformation in the Colombian Tropical Dry Forest Using GMM and UBM-GMM

Today, machine learning methods have become a powerful tool to help curb the effects of global warming by solving ecological questions. In particular, the Colombian Tropical Dry Forest (TDF) is an important ecosystem that is currently under threat due to deforestation generated by cattle, mining, an...

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Autores:

Tipo de recurso:

Fecha de publicación:

2020

Institución:

Universidad Pedagógica y Tecnológica de Colombia

Repositorio:

RiUPTC: Repositorio Institucional UPTC

Idioma:

spa

OAI Identifier:

oai:repositorio.uptc.edu.co:001/14285

Acceso en línea:

https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11752
https://repositorio.uptc.edu.co/handle/001/14285

Palabra clave:

acoustic index
ecoacoustics
gaussian mixture model
machine learning
; maximum likelihood estimation
universal background model
ecoacústica
modelos de mezclas gausianas
índices acústicos
machine learning
estimación de máxima verosimilitud
modelo universal

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License

http://purl.org/coar/access_right/c_abf386