• DOI:10.33682/1xwd-5v76
Corpus ID: 160009411

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}
}

• Sharath Adavanne, Archontis Politis, Tuomas Virtanen
• Published 2019
• Computer Science, Engineering
• ArXiv

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