Traditionally, analytical chemistry and diagnosis relied on wet laboratories and skilled
professionals utilizing sophisticated instruments for sample handling and analysis. However …

Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

Audio pattern recognition is an important research topic in the machine learning area, and
includes several tasks such as audio tagging, acoustic scene classification, music …

Large-scale labeled data are generally required to train deep neural networks in order to
obtain better performance in visual feature learning from images or videos for computer …

Visual and audio modalities are highly correlated, yet they contain different information.
Their strong correlation makes it possible to predict the semantics of one from the other with …

We present a self-supervised learning approach to learn audio-visual representations from
video and audio. Our method uses contrastive learning for cross-modal discrimination of …

We explore the problem of Audio Captioning: generating natural language description for
any kind of audio in the wild, which has been surprisingly unexplored in previous research …

Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …

Audio event recognition, the human-like ability to identify and relate sounds from audio, is a
nascent problem in machine perception. Comparable problems such as object detection in …

A considerable challenge in applying deep learning to audio classification is the scarcity of
labeled data. An increasingly popular solution is to learn deep audio embeddings from large …