DSing/sing_300x30x2/Kaldi-Dsing-task/README.md

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.