Abstract: In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the ...
Abstract: Diagnosing rolling bearing faults is critical for maintaining machinery reliability, as these components are essential in reducing friction in rotating systems. The increased bearing failure ...
This work implements Audio Spectrogram Transformer on ShipsEar Database (A private underwater vessel noise database) which serves as the benchmark for various models on underwater noise classification ...
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