8 citations · 9 across the 4 of their papers we have counts for
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cs.CV2022
Efficient Similarity-based Passive Filter Pruning for Compressing CNNs
Arshdeep Singh, Mark D. Plumbley
Convolution neural networks (CNNs) have shown great success in various applications. However, the computational complexity and memory storage of CNNs is a bottleneck for their depl…
eess.AS2022
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality
Arshdeep Singh
This paper presents an alternate representation framework to commonly used time-frequency representation for acoustic scene classification (ASC). A raw audio signal is represented…
eess.AS2022★ 1 cited
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification
Arshdeep Singh, Mark D. Plumbley
We present a method to develop low-complexity convolutional neural networks (CNNs) for acoustic scene classification (ASC). The large size and high computational complexity of typi…