Acoustic Scene Classification Using Deep Residual Networks With Late Fusion Of Separated High And Low Frequency Paths

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Acoustic Scene Classification Using Deep Residual Networks With Late Fusion Of Separated High And Low Frequency Paths


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Acoustic Scene Classification Using Deep Residual Networks With Late Fusion Of Separated High And Low Frequency Paths

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We investigate the problem of acoustic-scene classification, using a deep residual network applied to log-mel spectrograms complemented by log-mel deltas and delta-deltas.~We design the network to take into account that the temporal and frequency axes in
We investigate the problem of acoustic-scene classification, using a deep residual network applied to log-mel spectrograms complemented by log-mel deltas and delta-deltas.~We design the network to take into account that the temporal and frequency axes in