Learning from Between-class Examples for Deep Sound Recognition

Understand

Deep learning methods have achieved high performance in sound recognition tasks.

• Deciding how to feed the training data is important for further performance improvement.
• We propose a novel learning method for deep sound recognition: Between-Class learning (BC learning).
• Our strategy is to learn a discriminative feature space by recognizing the between-class sounds as between-class sounds.