# The Persian Piano Corpus: A Collection Of Instrument-Based Feature Extracted Data Considering Dastgah

arXiv: https://arxiv.org/abs/2311.11074 · HTML: https://mlsanity.com/paper/2311.11074/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 32 references that are in the map.
- First posted on arXiv 18 Nov 2023.

## Builds on (most cited first, 3 of 3)

- [Instrument-Independent Dastgah Recognition of Iranian Classical Music Using AzarNet](https://mlsanity.com/paper/1812.07017/) (2018)
- [Iranian Modal Music (Dastgah) detection using deep neural networks](https://mlsanity.com/paper/2203.15335/) (2022)
- [Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN](https://mlsanity.com/paper/1901.04696/) (2019)

## Built on by (most cited first, 2 of 2)

- [Persian Musical Instruments Classification Using Polyphonic Data Augmentation](https://mlsanity.com/paper/2511.05717/) (2025)
- [Persian MusicGen: A Large-Scale Dataset and Culturally-Aware Generative Model for Persian Music](https://mlsanity.com/paper/2605.14765/) (2026)

## Abstract (arXiv)

The research in the field of music is rapidly growing, and this trend emphasizes the need for comprehensive data. Though researchers have made an effort to contribute their own datasets, many data collections lack the requisite inclusivity for comprehensive study because they are frequently focused on particular components of music or other specific topics. We have endeavored to address data scarcity by employing an instrument-based approach to provide a complete corpus related to the Persian piano. Our piano corpus includes relevant labels for Persian music mode (Dastgah) and comprehensive metadata, allowing for utilization in various popular research areas. The features extracted from 2022 Persian piano pieces in The Persian Piano Corpus (PPC) have been collected and made available to researchers, aiming for a more thorough understanding of Persian music and the role of the piano in it in subsequent steps.