In this paper, we explore different approaches in multi-sound classification, and propose a stacked classifier based on the recent advance in deep learning. We ...
Abstract—Audio data is a highly rich form of information, often containing patterns with unique acoustic signatures. In pervasive sensing environments ...
In this paper, we explore different approaches in multi-sound classification, and propose a stacked classifier based on the recent advance in deep learning. We ...
The results have demonstrated that the proposed stacked classifier can robustly identify each sound category among mixed acoustic signals, without the need ...
Abstract—Audio data is a highly rich form of information, often containing patterns with unique acoustic signatures. In pervasive sensing environments ...
The results have demonstrated that our approach can robustly identify each sound category among mixed acoustic signals, without the need of any a priori ...
Fingerprint. Dive into the research topics of 'Robust audio sensing with multi-sound classification'. Together they form a unique fingerprint.
In this paper, we explore different approaches in multi-sound classification, and propose a stacked classifier based on the recent advance in deep learning. We ...
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This study proposes a parallel architecture to accelerate robust audio event recognition. To implement this in hardware, we evaluate the precision of 1-max ...