Multimodal music datasets? Challenges and future goals in music ...

This paper addresses challenges in collecting and evaluating multimodal music datasets that, in various ways, represent different data and related metadata.

Multimodal Music Datasets? Challenges and Future Goals in ... - OSF

The term “multimodal music dataset” is often used to describe music-related data that represent music as a multimedia art form and multimodal experience.

Multimodal Music Datasets? Challenges and Future Goals in ... - OSF

Abstract. The term ``multimodal music dataset'' is often used to describe music-related data that represent music as a multimedia art form and ...

(PDF) Multimodal music datasets? Challenges and future goals in ...

This paper proposes a definition of multimodality that works across different music disciplines. Many challenges are related to constructing, evaluating, and ...

Multimodal music datasets? Challenges and future goals in ... - OUCI

AbstractThe term “multimodal music dataset” is often used to describe music-related datasets that represent music as a multimedia art form and multimodal ...

(PDF) Multimodal Music Datasets? Challenges and Future Goals in ...

DOI: 10.31219/osf.io/rs436) The term ``multimodal music dataset'' is often used to describe music-related data that represent music as a multimedia art form ...

2024 Christodoulou Multimodal music datasets - challenges and ...

2024 Christodoulou Multimodal music datasets - challenges and future goals in music processing - Free download as PDF File (.pdf), Text File (.txt) or read ...

Anna-Maria Christodoulou on LinkedIn: Multimodal music datasets ...

Challenges and future goals in music processing" from our team at ... - Discuss challenges in creating and evaluating multimodal music datasets. - ...

MuTecEn on X: "Our new paper "Multimodal music datasets ...

Our new paper "Multimodal music datasets? Challenges and future goals in music processing" is out! We define "multimodality" in music, and tackle dataset ...

Anna-Maria Christodoulou on LinkedIn: Multimodal-Music-Datasets ...

Multimodal music datasets are essential for ... Challenges and future goals in music processing," explores this question in detail.

Resultat #2295084 - Multimodal music datasets? Challenges and ...

Multimodal music datasets? Challenges and future goals in music processing. Bidragsytere: Anna-Maria Christodoulou; Olivier Lartillot og; Alexander Refsum ...

arXiv:2409.10496v1 [cs.SD] 16 Sep 2024

trieval: Survey and future challenges ... der Refsum Jensenius, “Multimodal music datasets? chal- lenges and future goals in music processing,” .

Navigating Challenges in Multimodal Music Data Management for AI ...

The responsible management of multimodal music datasets plays a crucial role in the development and evaluation of music processing systems.

The different representations for music data and data transformations...

We provide a task-based categorization of multimodal datasets and suggest guidelines for their development. Diverse data pre-processing methods are illuminated, ...

MusicLIME: Explainable Multimodal Music Understanding - arXiv

In the Music Information Retrieval (MIR) domain, multimodal approaches are becoming increasingly prominent as they combine audio and lyrical ...

LLark: A Multimodal Foundation Model for Music - Spotify Research

In the world of music understanding research, there are many systems that can estimate specific individual attributes of a song (tempo, chords, ...

EmoMV: Affective music-video correspondence learning datasets for ...

This model is then modified to tackle the affective music-video retrieval task. Our proposed model outperforms state-of-the-art approaches on the EmoMV dataset ...

List of academic resources on Multimodal ML for Music - GitHub

This repo contains a curated list of academic papers, datasets and other resources on multimodal machine learning (MML) research applied to music.

Creating A Multi-track Classical Music Performance Dataset for Multi ...

music performance datasets for MIR tasks and especially high- light the challenges involved in creating multi-track datasets. Then, in Section III, we ...

CoLab

... Multimodal music datasets? Challenges and future goals in music processing ... Data Transformation Workflow for Musical Harmony Knowledge Graphs. de ...