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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |