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 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.
3- Extract DSing dataset using pre-segmented data.
In directory [DSing preconstructed](DSing preconstructed) you can find the DSing dataset segmentation.