Music Information Retrieval

Also known as MIR

Overview

Music Information Retrieval studies how computers can identify and organize music, extract musical features, and connect recordings, scores, and descriptions to support search, analysis, and creative work. Approaches range from audio fingerprints, signal-processing features, and dynamic time warping to CNNs, transformers, self-supervised representations, and audio-language models. Common tasks include transcription and beat tracking, chord and genre recognition, music similarity and version retrieval, source separation, and recommendation, evaluated on datasets such as MAESTRO and MUSDB18. The field has strong systems for many benchmark tasks, but performance can falter on noisy or unfamiliar music and underrepresented traditions; aligning model scores with human judgments and verifying fine-grained audio understanding remain open challenges.

Latest papers

CardsList

153 papers25 papers in the last four weeks, up 32% on the four weeks before. 0.1% of all new papers.

  1. Gangqinpu: A Multi-Genre, Multi-Task Piano Dataset with Aligned Audio, MIDI, and Musical Scores

    Oct 26, 2026Wei Zeng, Anvay Mathur, Ye WangMultimodal DatasetMusic Information Retrieval

  2. Derivation Depth Exposes Reasoning Failures in Tool-Augmented Music Analysis

    Oct 21, 2026Rupali Rajesh, Sethuraman T, Savya Khosla +4Music UnderstandingAudio-Language Model Evaluation

  3. KunSet: A Corpus and Benchmark for Lyrics Alignment and Rhyme Retrieval in Kunqu Opera

    Oct 21, 2026Lejun Min, Siqi Chen, Delong Wang +10Music Information RetrievalAudio-Text Alignment

  4. Structural Context from Audio and Lyric Evidence for Music Structure Analysis Using the New SheetSage-MSA Dataset

    Oct 19, 2026Hongbing Li, Yaolong JuMusic Information Retrieval

  5. FLOMSS: Generative Music Source Separation by Flow Matching

    Oct 13, 2026Shuyang Cui, Zhi Zhong, Keisuke Toyama +10Music Source SeparationAudio Source Separation

  6. Predicting Audio Popularity: A Comparative Study of Metadata and Acoustic Features Across Music and Sound Effects

    Oct 12, 2026Ikram El Hadi, Nihad Elbari, Kawtar Tlemçani +2Music Information Retrieval

  7. JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings

    Oct 11, 2026Sihun Lee, Dasaem JeongMusic Information Retrieval

  8. Explore This! Beat and Downbeat Tracking From a Learned Tatum Grid

    Oct 10, 2026Robert Kihlborg, André Holzapfel, Jan SchlüterMusic Information Retrieval

  9. How Much Audio Is Left In An Embedding? An Inversion Audit Of Audio Encoders

    Oct 8, 2026Marios Glytsos, Brian McFeeAudio Representation LearningMusic Information Retrieval

  10. STEMMA: Song-to-Stem Multi-Audio Reasoning for Large Audio Language Models

    Oct 8, 2026Hoyeol Sohn, Wonil Kim, Keunhyoung Kim +7Audio ReasoningMusic Understanding

  11. CASM: Context-Aware Semi-Markov Post-Processor for Beat Tracking

    Oct 7, 2026Zhanhong He, Hanyu Meng, Yaolong JuMusic Information RetrievalSequence Modeling

  12. Towards AI-Generated Music Plagiarism Detection as a Version Identification Problem

    Oct 6, 2026Fotis Koutsikos, Ioannis Prokopiou, Spyridon Kantarelis +6Music Information Retrieval

  13. Geometric Representations for Transformed Pattern Matching in Music

    Oct 6, 2026David MeredithMusic Information Retrieval

  14. A Multidimensional Model for Quantifying Tonal Strength: A Continuous Framework of Analyzing Tonal Evolution Beyond Tonal-Atonal Binary Classification

    Oct 4, 2026Yuliang Li, Nan Nan, Meilian Gu +1Computational MusicologyMusic Information Retrieval

  15. Extending Music Annotation Schemas: Zero-Shot Prediction or Few-Shot Adaptation?

    Oct 2, 2026Christos Plachouras, Emmanouil Benetos, Johan PauwelsMusic Information RetrievalAudio-Language Model Evaluation

  16. LayerIt: Towards a Framework for Time-Aligned, Composable Music Visualizations

    Oct 2, 2026Fernando Azeredo, António Sá PintoMusic Information Retrieval

  17. Learning Jazz Pianist Style with Cross-Attention Conditioning

    Oct 2, 2026Drew Edwards, Akira Maezawa, Simon DixonMusic GenerationSymbolic Music Generation

  18. Pitch Smoothing Using Relative Interval Networks

    Sep 30, 2026Chin-Yun Yu, Chi-Jen Peng, Li Su +1Music Information Retrieval

  19. Emergent Tonal Structure in Learned Chord Embeddings and Its Relation to Tonal Tension

    Sep 29, 2026Maral Ebrahimzadeh, Gilberto Bernardes, Sebastian StoberRepresentation LearningMusic Information Retrieval

  20. Retrieving Individual Stems from Music Mixtures with Slot Embeddings

    Sep 28, 2026David Braun, Junyi Fan, Pranay Manocha +2Audio Representation LearningMulti-Vector Retrieval

  21. JazzSAMBA: A Synchronous and Asynchronous Multi-take Band Audio Dataset of Jazz Standards for Live Music Models

    Sep 28, 2026Phillip Long, Jacob Nguyen, Jace Hosto +9Music Information Retrieval

  22. Perceptually Motivated Alignment and Interpolation of Pitch-Aligned Time-Frequency Representations

    Sep 25, 2026Shahan Nercessian, Jeff Sontag, Alejandro KoretzkyMusic Information Retrieval

  23. Music Source Separation via Stem Discovery

    Sep 25, 2026V. Valtteri Kallinen, Eloi Moliner, Lauri Juvela +1Music Source SeparationAudio Source Separation

  24. Pose-Aware Multimodal Automatic Tagging for Greek Traditional Music

    Sep 22, 2026Alexandros Alexiou, Charilaos Papaioannou, Alexandros PotamianosMusic Information RetrievalMultimodal Fusion