Internet Technology and Engineering Center, HUST (itec-hust)

Internet Technology and Engineering Center, HUST

itec-hust

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Location:Wuhan, P. R. China

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Internet Technology and Engineering Center, HUST's repositories

MusicYOLO

MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:12Issues:2Issues:3

transition-aware

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.

Language:PythonStargazers:6Issues:3Issues:0

CPMS

The CPMS dataset is a camera-based printed music score dataset

HUST_Solfege

A dataset for solfege assessment, onset detection and note transcription

AMT_project

A Two-Stage Audio-Visual Fusion Piano Transcription Model based on Attention Mechanism

OMAPS

The OMAPS (Ordinary MIDI Aligned Piano Sounds) dataset was recorded from Yamaha electric piano P115 to evaluate audio-visual fusion piano transcription models.

Stargazers:0Issues:3Issues:0
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Language:PythonStargazers:0Issues:0Issues:0