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Sound Event Localization and Detection Using CRNN on Pairs of Microphones

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arxiv 1910.10049 v1 pith:6MGW6X6B submitted 2019-10-22 eess.AS cs.SD

Francois Grondin , James Glass , Iwona Sobieraj , Mark D. Plumbley This is my paper
classification eess.AScs.SD
keywords detectioneventmicrophonessoundsystemarrayarrivallocalization
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This paper proposes sound event localization and detection methods from multichannel recording. The proposed system is based on two Convolutional Recurrent Neural Networks (CRNNs) to perform sound event detection (SED) and time difference of arrival (TDOA) estimation on each pair of microphones in a microphone array. In this paper, the system is evaluated with a four-microphone array, and thus combines the results from six pairs of microphones to provide a final classification and a 3-D direction of arrival (DOA) estimate. Results demonstrate that the proposed approach outperforms the DCASE 2019 baseline system.

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