# Multitask Learning for Polyphonic Piano Transcription, a Case Study

arXiv: https://arxiv.org/abs/1902.04390 · HTML: https://mlsanity.com/paper/1902.04390/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Feb 2019.

## Built on by (most cited first, 1 of 1)

- [Deep Learning For Prominence Detection In Children's Read Speech](https://mlsanity.com/paper/2110.14273/) (2021)

## Abstract (arXiv)

Viewing polyphonic piano transcription as a multitask learning problem, where we need to simultaneously predict onsets, intermediate frames and offsets of notes, we investigate the performance impact of additional prediction targets, using a variety of suitable convolutional neural network architectures. We quantify performance differences of additional objectives on the large MAESTRO dataset.