Akira Inoue

Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events

Few-shot learning systems for sound event recognition have gained interests since they require only a few examples to adapt to new target classes without fine-tuning. However, such systems have only been applied to chunks of sounds for classification or verification. In this paper, we aim to achieve…