title: Transformer-based Environmental Sound Classification Modeling by Jointing Multi-class Classification and Similarity Clustering
abstract: <title>Abstract</title> As environmental sound signal is not as regular as speech, it has varying temporal structures and is more difficult to distinguish. Previous research on Environmental Sound Classiﬁcation (ESC) has designed sophisticated methods to extract feature from raw waveforms directly, but this may not be generalized well across different ESC tasks. We proposed an end-to-end audio scene classification network which is only based on the log-mel feature. First, we used Transformer net
journal: Research Square