What are the tasks in music information retrieval (MIR)?

Music Information Retrieval (MIR) is a field related to extracting and analyzing information from musical data. The main tasks of MIR include:

• Genre recognition — classifying music by genres.
• Audio feature extraction — for example, tempo, key, rhythm, melody.
• Instrument recognition — determining which instruments are played in a recording.
• Automatic annotation — adding metadata such as mood, emotions.
• Search and recommendation — finding similar tracks, creating playlists.
• Note recognition and transcription — converting audio into sheet music.
• Music segmentation — isolating parts of a composition (verse, chorus).

These tasks are addressed using machine learning methods, signal processing, and data analysis, enabling the creation of intelligent music services and tools.