Densely Connected Networks with Multiple Features for Classifying Sound Signals with Reverberation

In indoor environments, reverberation can distort the signalseceived by active noise cancelation devices, posing a challenge to sound classification. Therefore, we combined three speech spectral features based on different frequency scales into a densely connected network (DenseNet) to accomplish so...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Zhuo, Gao, Dazhi, Sun, Kai, Zhao, Xiaojing, Yu, Yueqi, Wang, Zhennan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460028/
https://www.ncbi.nlm.nih.gov/pubmed/37631761
http://dx.doi.org/10.3390/s23167225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460028/
https://www.ncbi.nlm.nih.gov/pubmed/37631761
http://dx.doi.org/10.3390/s23167225

Ejemplares similares