This paper describes how semi-supervised learning, called peer collaborative learning (PCL), can be applied to the polyphonic sound event detection (PSED) ...

ABSTRACT. This paper describes that semi-supervised learning called peer col- laborative learning (PCL) can be applied to the polyphonic sound event ...

This paper describes how semi-supervised learning, called peer col- laborative learning (PCL), can be applied to the polyphonic sound event detection (PSED) ...

Its significance is to add data to the model while reducing labor consumption, and expect the model to obtain better detection capabilities.

Abstract: The PI proposes a high-impact multi-disciplinary research project to develop and validate machine learning al- gorithms for shift-detection in ...

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

This paper considers a semi-supervised learning framework for weakly labeled polyphonic sound event detection problems for the DCASE 2019 challenge's task4 ...

This paper presents and discusses various metrics proposed for evaluation of polyphonic sound event detection systems used in realistic situations where ...

Peer Collaborative Learning for Polyphonic Sound Event Detection. Conference Paper. May 2022. Hayato Endo · Hiromitsu Nishizaki · View · Automatic ...

The proposed model significantly outperforms state-of-the-art methods under multiple polyphonic and noise-directional interference environments.