Joint Optimization of Deep Neural Network-Based Dereverberation and Beamforming for Sound Event Detection in Multi-Channel Environments

In this paper, we propose joint optimization of deep neural network (DNN)-supported dereverberation and beamforming for the convolutional recurrent neural network (CRNN)-based sound event detection (SED) in multi-channel environments. First, the short-time Fourier transform (STFT) coefficients are c...

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Detalles Bibliográficos
Autores principales: Noh, Kyoungjin, Chang, Joon-Hyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180550/
https://www.ncbi.nlm.nih.gov/pubmed/32231161
http://dx.doi.org/10.3390/s20071883

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180550/
https://www.ncbi.nlm.nih.gov/pubmed/32231161
http://dx.doi.org/10.3390/s20071883

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