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transition-aware
transition-aware PublicTransition-aware is an CRNN-based piano transcription model, inferring onset, pitch of 88 notes from raw audios. Compared with the existing models, like Onsets and Frames and High-resolution, Trans…
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HUST_Solfege
HUST_Solfege PublicA dataset for solfege assessment, onset detection and note transcription
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- OMAPS2 Public
itec-hust/OMAPS2’s past year of commit activity - AMT_project Public
A Two-Stage Audio-Visual Fusion Piano Transcription Model based on Attention Mechanism
itec-hust/AMT_project’s past year of commit activity - singKT-dataset Public
itec-hust/singKT-dataset’s past year of commit activity - vision-piano-amt Public
itec-hust/vision-piano-amt’s past year of commit activity - SPS-rectification Public
itec-hust/SPS-rectification’s past year of commit activity - Sight-Singing-Vocal-Data Public
itec-hust/Sight-Singing-Vocal-Data’s past year of commit activity - MusicYOLO Public
MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.
itec-hust/MusicYOLO’s past year of commit activity - transition-aware Public
Transition-aware is an CRNN-based piano transcription model, inferring onset, pitch of 88 notes from raw audios. Compared with the existing models, like Onsets and Frames and High-resolution, Transition-aware is a more stable and robust approach as mentioned in our paper.
itec-hust/transition-aware’s past year of commit activity - OMAPS Public
The OMAPS (Ordinary MIDI Aligned Piano Sounds) dataset was recorded from Yamaha electric piano P115 to evaluate audio-visual fusion piano transcription models.
itec-hust/OMAPS’s past year of commit activity
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