Pop2Piano

About Pop2Piano

Pop2Piano is an innovative AI-powered tool designed to generate piano covers from pop songs. Its core objective is to convert pop music audio waveforms directly into piano arrangements, bypassing the traditional labor-intensive process of manually extracting melodies or chords. This end-to-end capability allows users without extensive musical training to create piano covers, significantly broadening its accessibility [1](https://arxiv.org/abs/2211.00895)[3](https://ar5iv.labs.arxiv.org/abs/2211.00895)[9](https://huggingface.co/docs/transformers/en/model_doc/pop2piano). This tool's key features include its direct audio-to-MIDI conversion, enabled by a Transformer network architecture—specifically a T5-small model known for handling sequential data efficiently. This architecture facilitates the capture of long-range dependencies within music, resulting in coherent, musically plausible piano arrangements. The tool employs a unique tokenization scheme, using discrete tokens to represent musical events like pitch and note changes. Additionally, it offers style control via "arranger tokens," allowing users to customize the style of the generated covers to emulate specific artists [3](https://ar5iv.labs.arxiv.org/abs/2211.00895). Potential applications are diverse. In music education, Pop2Piano can act as a learning aid or accompaniment tool, helping students practice playing pop songs on the piano. For music production, it provides a quick method for musicians and producers to generate piano arrangements, thereby saving time in the composition process. Personal music enthusiasts can use it to create personalized covers of favorite songs, enhancing their musical experience. Moreover, the model and its generated Piano Cover Synchronized to Pop Audio (PSP) dataset are valuable for further research in AI-driven music generation and transcription [3](https://ar5iv.labs.arxiv.org/abs/2211.00895). One of Pop2Piano’s major selling points is its ability to perform direct audio-to-MIDI conversion without intermediate steps—a feature that sets it apart from other music generation tools. Its style customization feature further enhances its uniqueness. Additionally, the extensive PSP dataset, comprising 307 hours of synchronized audio, is publicly available, serving as a rich resource for the research community. As for technical specifications, Pop2Piano operates on a 22050 Hz sampling rate for input audio and outputs MIDI files. The tool's model encompasses approximately 59 million parameters [3](https://ar5iv.labs.arxiv.org/abs/2211.00895). Pop2Piano is easily integrated into various systems, available on Hugging Face, and can be incorporated using Python and the Transformers library, as demonstrated by provided code examples [6](https://huggingface.co/sweetcocoa/pop2piano). In terms of achievements, the model has shown proficiency in creating stylistically coherent and naturally sounding piano covers, comparable to those produced by human experts according to subjective evaluations [3](https://ar5iv.labs.arxiv.org/abs/2211.00895). The open-source nature of the project and its presence on Hugging Face have enabled community-driven enhancements and developments, although specific recent updates are not detailed in the available resources.

Key Features

• Direct audio-to-MIDI conversion eliminates need for melody/chord extraction.
• Style customization with 'arranger tokens' for personalized outputs.
• Outputs standard MIDI files for broad software compatibility.
• User-friendly interface for all experience levels.
• Batch processing capability for multiple audio files.
• Efficient on 44.1 kHz audio input for best results.
• Trained on Korean Pop and supports Western Pop, Hip Hop.
• Publicly available extensive PSP dataset for research.
• Utilizes advanced Transformer model in processing.
• Integration available via Hugging Face and Transformers library.

FAQs