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Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future Challenges

arXiv 2511.07205 ↗First posted 10 Nov 2025cs.SD cs.AIcited by 0

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Abstract (arXiv)

In this paper, we trace the evolution of Music Information Retrieval (MIR) over the past 25 years. While MIR gathers all kinds of research related to music informatics, a large part of it focuses on signal processing techniques for music data, fostering a close relationship with the IEEE Audio and Acoustic Signal Processing Technical Commitee. In this paper, we reflect the main research achievements of MIR along the three EDICS related to music analysis, processing and generation. We then review a set of successful practices that fuel the rapid development of MIR research. One practice is the annual research benchmark, the Music Information Retrieval Evaluation eXchange, where participants compete on a set of research tasks. Another practice is the pursuit of reproducible and open research. The active engagement with industry research and products is another key factor for achieving large societal impacts and motivating younger generations of students to join the field. Last but not the least, the commitment to diversity, equity and inclusion ensures MIR to be a vibrant and open community where various ideas, methodologies, and career pathways collide. We finish by providing future challenges MIR will have to face.

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References · 20

  1. 2021SUPERB: Speech processing Universal PERformance Benchmarkcited by 652
  2. 2020Jukebox: A Generative Model for Musiccited by 535
  3. 2018Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Datasetcited by 215
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  5. 2020DDSP: Differentiable Digital Signal Processingcited by 177
  6. 2018CREPE: A Convolutional Representation for Pitch Estimationcited by 109
  7. 2021Contrastive Learning of Musical Representationscited by 81
  8. 2022HEAR: Holistic Evaluation of Audio Representationscited by 77
  9. 2021Music Demixing Challenge 2021cited by 38
  10. 2023MARBLE: Music Audio Representation Benchmark for Universal Evaluationcited by 38
  11. 2024Foundation Models for Music: A Surveycited by 34
  12. 2019SPICE: Self-supervised Pitch Estimationcited by 27
8 more
  1. 2023Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approachcited by 21
  2. 2022Unsupervised vocal dereverberation with diffusion-based generative modelscited by 18
  3. 2023PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objectivecited by 18
  4. 2020Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learningcited by 16
  5. 2021Audio-based Musical Version Identification: Elements and Challengescited by 12
  6. 2022Flow Moods: Recommending Music by Moods on Deezercited by 11
  7. 2022Automatic music mixing with deep learning and out-of-domain datacited by 11
  8. 2023VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidancecited by 9

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