Mar 3, 2021 · We propose in this work a multi-view learning approach for audio and music classification. Considering four typical low-level representations.

We propose in this work a multi-view learning approach for audio and music classification. Considering four typical low-level repre-.

This work identifies the recording location (or city) of an audio sample as a source of intra-class variation, and uses multi-view learning, ...

In this paper, we report on the design of a pilot automatic classification system that utilises timbral properties to automatically classify audio samples. At ...

Mar 3, 2021 · We propose in this work a multi-view learning approach for audio and music classification. Considering four typical low-level ...

Apr 14, 2024 · In this study, we expand the scope of pretext tasks applied to music by investigating and comparing the performance of new self-supervised methods for music ...

Multi-view Audio And Music Classification ; English · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · 4.

We propose in this work a multi-view learning approach for audio and music classification. Considering four typical low-level representations (i.e. ...

The learned embedding in the subnetworks are then concatenated to form the multi-view embedding for classification similar to a simple concatenation network.

This paper proposes a birdsong classification model based multi-view features, which combines the deep features extracted by convolutional neural network (CNN) ...