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4. Raw Waveform Based End-To-End Deep Convolutional Network For Spatial Localization Of Multiple Acoustic Sources

Raw Waveform Based End-To-End Deep Convolutional Network For Spatial Localization Of Multiple Acoustic Sources

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IEEE ICASSP 2020 Virtual Conference May 2020

In this paper, we present an end-to-end deep convolutional neural network operating on multi-channel raw audio data to localize multiple simultaneously active acoustic sources in space. Previously reported deep learning based approaches work well in local

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Raw Waveform Based End-To-End Deep Convolutional Network For Spatial Localization Of Multiple Acoustic Sources

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In this paper, we present an end-to-end deep convolutional neural network operating on multi-channel raw audio data to localize multiple simultaneously active acoustic sources in space. Previously reported deep learning based approaches work well in local