| # 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. |