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MusicBERT: Microsoft’s Large Scale Pre-Trained Model For Symbolic Music Understanding

BERT
Microsoft recently developed a large scale pre-trained model for symbolic music understanding called MusicBERT. Symbolic music understanding refers to understanding music from the symbolic data (for example, MIDI format). It covers many music applications such as emotion classification, genre classification, and music pieces matching.  For developing MusicBERT, Microsoft has used OctupleMIDI method, bar-level masking strategy, and a large scale symbolic music corpus of more than 1 million music tracks.  Why OctupleMIDI? OctupleMIDI is a novel music encoding method that encodes each note into a tuple with eight elements, representing the different aspects of the characteristics of a musical note, including instrument, tempo, bar, position, time signature, pitch, duration,
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Amit Naik
Amit Raja Naik is Senior Editorial Producer – Live Shows at AIM Network, driving India’s most influential AI and technology conversations. He leads content, narrative design, and visual storytelling, engaging with leaders, innovators, and policymakers to advance how technology impacts businesses, governance, and society.
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