A multi-room reverberant dataset for sound event localization and detection

@article{Adavanne2019AMR,
  title={A multi-room reverberant dataset for sound event localization and detection},
  author={Sharath Adavanne and Archontis Politis and Tuomas Virtanen},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.08546}
}
This paper presents the sound event localization and detection (SELD) task setup for the DCASE 2019 challenge. [...] Key Method These sound events are spatialized using real-life impulse responses collected at multiple spatial coordinates in five different rooms with varying dimensions and material properties. A baseline SELD method employing a convolutional recurrent neural network is used to generate benchmark scores for this reverberant dataset. The benchmark scores are obtained using the recommended cross…Expand
SOUND EVENT DETECTION AND LOCALIZATION USING CRNN MODELS Technical Report
SECL-UMons Database for Sound Event Classification and Localization
Sound source detection, localization and classification using consecutive ensemble of CRNN models
Metric optimization for Sound Event Localization and Detection
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