I. Introduction
Music Information Retrieval (MIR) is the field that covers all the research topics involved in the understanding, modeling and (more recently) the processing and generation of music . While comparable research existed before (MIR drew from earlier work such as on symbolic music, speech/music discrimination, beat-tracking, or the development of MPEG-7), they were unified under the MIR umbrella in 2000 with the establishment of the first MIR symposium known today as the International Society for Music Information Retrieval (ISMIR) conference and the related ISMIR organisation . Over the years, the contribution of MIR research to the IEEE Audio and Acoustic Signal Processing (AASP) Technical Commitee (TC) has progressively grown through journals and conferences, notably the Transactions on Audio, Speech, and Language Processing (TASLP), the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), and the Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). While in 2000, MIR was represented within the "Audio and Electroacoustic" TC by only 8 papers in the EDIC [AUD-MUSI] (Applications to Music), it extended in 2006 to two specific EDICS [AUD-ANSY] and [AUD-CONT] , renamed [AUD-MSP] and [AUD-MIR] in 2010 in the new AASP TC. Since 2013, around 40 MIR papers are presented every year at ICASSP (with a peak of 47 in 2024) which represents a large fraction (over one third) of the total MIR papers published every year. MIR has been in the top biggest groups of papers since 2013 and represented 18.8% of the AASP papers in ICASSP 2024 . Starting in 2025, MIR will be represented by three EDICS categories: "Music analysis", "Music signal processing, production, and separation," and "Audio/symbolic-domain music generation," reflecting the field’s ongoing development. The development of MIR in the AASP community can also be found through some special issues in IEEE journals, e.g., 2010 Journal of Selected Topics in Signal Processing (JSTSP) [1] and 2019 Signal Processing Magazine (SPM) [2] on music signal processing.