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DuET is a dual-encoder transformer that jointly performs MIDI-to-score transcription and beat tracking to improve timing and duration accuracy in expressive piano performance transcription, achieving large MUSTER error reductions on the Gangqinpu dataset.
SheetSage2 is a unified music transcription framework combining synthetic MIDI supervision, task-specific structured decoding, and autoregressive distillation, outperforming prior systems on 12 of 15 benchmark-metric pairs with publicly available model weights and code.
Kyutai releases MuScriptor, an open model for multi-instrument transcription that converts any music recording into MIDI notes, similar to OpenAI Whisper for speech.
Mirelo AI, in collaboration with Kyutai Labs, introduces an open-source Audio-to-MIDI model that transcribes full music mixes into separate MIDI tracks per instrument, detecting chords, key, and tempo directly from the mix without requiring isolated stems.
MuScriptor is an open-source model for multi-instrument music transcription, capable of transcribing recordings into MIDI notes for each instrument without prior knowledge of the instruments present.
本文提出一个轻量级、乐器无关的神经网络，用于多音符转录和复音估计，联合预测帧级起音、复音和音符激活，在保持接近最先进系统精度的同时大幅降低资源占用（对应 Spotify 的 Basic Pitch 模型）。