8 citations · 23 across the 12 of their papers we have counts for
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cs.SD2023★ 2 cited
Environmental Sound Classification on An Embedded Hardware Platform
Gabriel Bibbo, Arshdeep Singh, Mark D. Plumbley
Convolutional neural networks (CNNs) have exhibited state-of-the-art performance in various audio classification tasks. However, their real-time deployment remains a challenge on r…
cs.SD2023★ 2 cited
E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks
Arshdeep Singh, Haohe Liu, Mark D. Plumbley
Sounds carry an abundance of information about activities and events in our everyday environment, such as traffic noise, road works, music, or people talking. Recent machine learni…
cs.LG2023★ 1 cited
Efficient CNNs via Passive Filter Pruning
Arshdeep Singh, Mark D. Plumbley
Convolutional neural networks (CNNs) have shown state-of-the-art performance in various applications. However, CNNs are resource-hungry due to their requirement of high computation…