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# DSing ASR task: Resources and Baseline for an unaccompanied singing ASR.
In this repository, you will find the scripts used to construct the DSing ASR-oriented dataset
and the baseline system constructed on Kaldi.
Cite:
```
@inproceedings{Roa_Dabike-Barker_2019,
author = {Roa Dabike, Gerardo and Barker, Jon}
title = {{Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System}},
year = 2019,
booktitle = {Proceedings of the 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019)}
}
```
## 1- DSing dataset
DSing is an ASR-oriented dataset constructed from the [Smule Sing!300x30x2](https://ccrma.stanford.edu/damp/) dataset (**Sing!**).
This repository provides the scripts to transform **Sing!** to the DSing ASR task.
## 2- Initial steps
The first step before running any of the scripts is to obtain access to **Sing!** dataset.
For more details, go to [DAMP repository](https://ccrma.stanford.edu/damp/).
## 3- Extract DSing dataset using pre-segmented data.
In directory **[DSing preconstructed](DSing preconstructed)** you can find the DSing dataset segmentation. |