Jun 22, 2022 � This paper presents a deep learning model enhanced by compressed sensing techniques for acoustic event classification.
A deep learning model enhanced by compressed sensing techniques for acoustic event classification is presented, which first transforms the input acoustic�...
The compressed sensing first transforms the input acoustic signal into a reconstructed signal to reduce the noise in the input acoustic signal. The�...
Jun 22, 2022 � This paper presents a deep learning model enhanced by compressed sensing techniques for acoustic event classification. The compressed sensing�...
Apr 6, 2023 � This paper presents a deep learning model enhanced by compressed sensing techniques for acoustic event classification.
Dive into the research topics of 'ComSense-CNN: acoustic event classification via 1D convolutional neural network with compressed sensing'. Together they form a�...
ComSense-CNN: acoustic event classification via 1D convolutional neural network with compressed sensing. Article. Full-text available. Jun 2022.
ComSense-CNN: acoustic event classification via 1D convolutional neural network with compressed sensing ; CiteScore. 3.80 ; 自引率. 8.70% ; 发文量. 328 ; 审稿时长.
People also ask
What is 1D convolutional neural network used for?
Can CNN be used on 1D data?
What is 1D convolutional neural network for signal processing?
What is convolutional neural network for data classification?
ComSense-CNN: acoustic event classification via 1D convolutional neural network with compressed sensing. Pooi Shiang Tan; Kian Ming Lim; Lee Chung Kwek.
Jan 15, 2021 � In this paper, we propose a novel filter parameter modeling framework performing optimized frequency sub-band separation via CNN based end-to-end training