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Found 6 papers, 5 papers with code
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality audio-caption pairs, designed for the evaluation of music-and-language models.
Serenade: A Model for Human-in-the-loop Automatic Chord Estimation
Computational harmony analysis is important for MIR tasks such as automatic segmentation, corpus analysis and automatic chord label estimation.
Equivariant Self-Supervision for Musical Tempo Estimation
Contrastive methods are a popular choice for self-supervision in the audio domain, and typically provide a learning signal by forcing the model to be invariant to some transformations of the input.
Contrastive Audio-Language Learning for Music
In this work, we explore cross-modal learning in an attempt to bridge audio and language in the music domain.
Learning music audio representations via weak language supervision
To address this question, we design a multimodal architecture for music and language pre-training (MuLaP) optimised via a set of proxy tasks.
MusCaps: Generating Captions for Music Audio
Content-based music information retrieval has seen rapid progress with the adoption of deep learning.
