Piano like no other, Piano on Paper

Official Repo of the paper "Pop2Piano : Pop Audio-based Piano Cover Generation"

[JCMS 2024] This is the official repository for the paper, MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding.

Official repository for the paper: Scaling Self-Supervised Representation Learning for Symbolic Piano Performance (ISMIR 2025)

Using this program, you can play or control music by hand gesture. Also you can play a Paper Piano.

Code for the ISMIR 2024 paper "End-to-end Piano Performance-MIDI to Score Conversion with Transformers"

This is the official repository of ISMIR 2024 paper "Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation"

Paper Piano uses Python and OpenCV to detect key presses on a hand-drawn piano, translating them into digital notes and sound.

Official PyTorch implementation of ICASSP 2023 paper "Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach"

This is the official implementation for the paper "Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training".

Code accompanying ML4MD ICML 2020 paper - "Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance".

[ICME 2024] Official Repository for The Paper, PianoBART: Symbolic Piano Music Understanding and Generating with Large-Scale Pre-Training

This repository is for an implementation of the accepted paper "Sketching the Expression: Flexible Rendering of Expressive Piano Performance with Self-Supervised Learning"

Code for the paper "Transcribing Human Piano Performances into Music Notation" accepted at ISMIR 2016

code to reproduce results from a paper about framewise polyphonic piano transcription

Data for paper "Learning Playing Piano with Bionic-Constrained Diffusion Policy for Anthropomorphic Hand"

Android app that uses OpenCV to detect paper pianos and human fingers that users can play

Code for the paper "Learning Sparse Analytic Filters for Piano Transcription".

Play piano on printed paper, or just in the air.

Replicating the results of the paper Automatic decision of piano fingering based on hidden Markov models by Yuichiro iYonebayashi on IJCAI 07

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.

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Paper + Piano (+ Computer Vision + Deep Learning) = Paperiano

Material for the paper "Automatic Quality Assessment of Transcribed Piano MIDI" (ISMIR 2025 LBD)

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Code for the paper "Semi-Supervised Piano Transcription Using Pseudo-Labeling Techniques", ISMIR 2024

Companion code for EUSIPCO 2018 paper "Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure"

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​"PaperPiano" is a pentatonic scale piano made out of paper and powered with an Arduino and some code! It's a part of a series of STEM education activities, whose goal is to teach different science and engineering concepts using building, crafts, and art as an entry point. This was made at Princeton University under The Council on Science and Technology. Contributors include Aatish Bhatia, Bernat Guillen Pegueroles, and Sharon Lee De La Cruz.

画像班@五月祭2014