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Internet Technology and Engineering Center, HUST

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  1. MusicYOLO MusicYOLO Public

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

    Jupyter Notebook 13 2

  2. transition-aware 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, Trans…

    Python 6 2

  3. MAPS_ENSTDkCl-Dataset-Correction-v1.0 MAPS_ENSTDkCl-Dataset-Correction-v1.0 Public

    MATLAB 3

  4. HUST_Solfege HUST_Solfege Public

    A dataset for solfege assessment, onset detection and note transcription

    3

  5. CPMS CPMS Public

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

    3

  6. singKT-dataset singKT-dataset Public

    3

Repositories

Showing 10 of 13 repositories
  • OMAPS2 Public
    itec-hust/OMAPS2’s past year of commit activity
    1 2 0 1 Updated Jun 21, 2024
  • itec-hust/singKT-dataset’s past year of commit activity
    3 0 0 0 Updated May 10, 2024
  • 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
    2 0 0 0 Updated Nov 6, 2023
  • itec-hust/vision-piano-amt’s past year of commit activity
    Python 0 0 0 0 Updated Oct 7, 2023
  • itec-hust/SPS-rectification’s past year of commit activity
    0 0 0 0 Updated Sep 14, 2023
  • CPMS Public

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

    itec-hust/CPMS’s past year of commit activity
    3 0 1 0 Updated Aug 13, 2023
  • itec-hust/Sight-Singing-Vocal-Data’s past year of commit activity
    2 2 0 0 Updated Apr 25, 2022
  • 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
    Jupyter Notebook 13 Apache-2.0 2 2 0 Updated Jan 29, 2022
  • 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
    Python 6 2 0 0 Updated Sep 23, 2021
  • 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
    2 1 0 0 Updated Aug 19, 2021

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