Multi-instrument Music Transcription
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Benchmarks
Most implemented
MT3: Multi-Task Multitrack Music Transcription
MuScriptor: An Open Model for Multi-Instrument Music Transcription
Papers
MuScriptor: An Open Model for Multi-Instrument Music Transcription
Existing methods for automatic music transcription are often limited to single-instrument recordings or fail on complex, real music mixes. Although previous work utilizes synthetic training data, the resulting models gen…
Multi-instrument Music TranscriptionReinforcement LearningYourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation
Multi-instrument music transcription aims to convert polyphonic music recordings into musical scores assigned to each instrument. This task is challenging for modeling as it requires simultaneously identifying multiple i…
Drum TranscriptionDrum Transcription in Music (DTM)Mixture-of-ExpertsMulti-instrument Music Transcription+2The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
Data is the lifeblood of modern machine learning systems, including for those in Music Information Retrieval (MIR). However, MIR has long been mired by small datasets and unreliable labels. In this work, we propose to br…
Information RetrievalMulti-instrument Music TranscriptionMusic Information RetrievalMusic Transcription+1MT3: Multi-Task Multitrack Music Transcription
Automatic Music Transcription (AMT), inferring musical notes from raw audio, is a challenging task at the core of music understanding. Unlike Automatic Speech Recognition (ASR), which typically focuses on the words of a …
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Multi-instrument Music TranscriptionMusic Transcription+3