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Audio-based Musical Version Identification: Elements and Challenges

Audio-based Musical Version Identification: Elements and Challenges

IEEE Signal Processing Magazine (IEEE SPM), 2021
6 September 2021
Furkan Yesiler
Guillaume Doras
Rachel M. Bittner
Christopher J. Tralie
Joan Serrà
ArXiv (abs)PDFHTML

Papers citing "Audio-based Musical Version Identification: Elements and Challenges"

9 / 9 papers shown
Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future Challenges
Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future ChallengesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Geoffroy Peeters
Zafar Rafii
Magdalena Fuentes
Zhiyao Duan
Emmanouil Benetos
Juhan Nam
Yuki Mitsufuji
VLM
179
1
0
10 Nov 2025
Automatic Music Sample Identification with Multi-Track Contrastive Learning
Automatic Music Sample Identification with Multi-Track Contrastive Learning
Alain Riou
Joan Serrà
Yuki Mitsufuji
SSL
303
0
0
13 Oct 2025
Attribution-by-design: Ensuring Inference-Time Provenance in Generative Music Systems
Attribution-by-design: Ensuring Inference-Time Provenance in Generative Music Systems
Fabio Morreale
Wiebke Hutiri
Joan Serrà
Alice Xiang
Yuki Mitsufuji
204
0
0
09 Oct 2025
Leveraging Whisper Embeddings for Audio-based Lyrics Matching
Leveraging Whisper Embeddings for Audio-based Lyrics Matching
Eleonora Mancini
Joan Serrà
Paolo Torroni
Yuki Mitsufuji
157
1
0
09 Oct 2025
MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection
MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection
Tongyu Lu
Charlotta-Marlena Geist
J. Melechovský
Abhinaba Roy
Dorien Herremans
246
5
0
27 May 2025
On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube
On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTubeInformation Research (IR), 2025
Simon Hachmeier
Robert Jäschke
AAML
245
1
0
03 Jan 2025
A Benchmark and Robustness Study of In-Context-Learning with Large
  Language Models in Music Entity Detection
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity DetectionInternational Conference on Computational Linguistics (COLING), 2024
Simon Hachmeier
Robert Jäschke
300
4
0
16 Dec 2024
LLark: A Multimodal Instruction-Following Language Model for Music
LLark: A Multimodal Instruction-Following Language Model for MusicInternational Conference on Machine Learning (ICML), 2023
Josh Gardner
Simon Durand
Daniel Stoller
Rachel M. Bittner
AuLLM
417
32
0
11 Oct 2023
And what if two musical versions don't share melody, harmony, rhythm, or
  lyrics ?
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ?International Society for Music Information Retrieval Conference (ISMIR), 2022
M. Abrassart
Guillaume Doras
192
6
0
03 Oct 2022
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