• Corpus ID: 210942949

Learning Absolute Sound Source Localisation With Limited Supervisions

@article{Chu2020LearningAS,
  title={Learning Absolute Sound Source Localisation With Limited Supervisions},
  author={Yang Chu and Wayne Luk and Dan F. M. Goodman},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.10605}
}
An accurate auditory space map can be learned from auditory experience, for example during development or in response to altered auditory cues such as a modified pinna. We studied neural network models that learn to localise a single sound source in the horizontal plane using binaural cues based on limited supervisions. These supervisions can be unreliable or sparse in real life. First, a simple model that has unreliable estimation of the sound source location is built, in order to simulate the… 

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