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06/15/2023
Audio Tagging on an Embedded Hardware Platform
Convolutional neural networks (CNNs) have exhibited state-of-the-art per...
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05/30/2023
E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks
Sounds carry an abundance of information about activities and events in ...
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05/05/2023
Compressing audio CNNs with graph centrality based filter pruning
Convolutional neural networks (CNNs) are commonplace in high-performing ...
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04/05/2023
Efficient CNNs via Passive Filter Pruning
Convolutional neural networks (CNNs) have shown state-of-the-art perform...
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10/27/2022
Efficient Similarity-based Passive Filter Pruning for Compressing CNNs
Convolution neural networks (CNNs) have shown great success in various a...
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07/23/2022
Low-complexity CNNs for Acoustic Scene Classification
This paper presents a low-complexity framework for acoustic scene classi...
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07/15/2022
Continual Learning For On-Device Environmental Sound Classification
Continuously learning new classes without catastrophic forgetting is a c...
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03/31/2022
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality
This paper presents an alternate representation framework to commonly us...
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03/29/2022
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification
We present a method to develop low-complexity convolutional neural netwo...
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11/21/2021
Health Monitoring of Industrial machines using Scene-Aware Threshold Selection
This paper presents an autoencoder based unsupervised approach to identi...
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04/28/2021
Finding High-Value Training Data Subset through Differentiable Convex Programming
Finding valuable training data points for deep neural networks has been ...
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08/29/2020
Batching and Matching for Food Delivery in Dynamic Road Networks
Given a stream of food orders and available delivery vehicles, how shoul...
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01/18/2019
