In this paper we discuss an in-progress work on the development of a speech corpus for four low-resource Indo-Aryan languages -- Awadhi, Bhojpuri, Braj and Magahi using the field methods of linguistic data collection. The total size of the corpus currently stands at approximately 18 hours (approx. 4-5 hours each language) and it is transcribed and annotated with grammatical information such as part-of-speech tags, morphological features and Universal dependency relationships. We discuss our methodology for data collection in these languages, most of which was done in the middle of the COVID-19 pandemic, with one of the aims being to generate some additional income for low-income groups speaking these languages. In the paper, we also discuss the results of the baseline experiments for automatic speech recognition system in these languages.
@article{arxiv.2206.12931,
title = {Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi},
author = {Ritesh Kumar and Siddharth Singh and Shyam Ratan and Mohit Raj and Sonal Sinha and Bornini Lahiri and Vivek Seshadri and Kalika Bali and Atul Kr. Ojha},
journal= {arXiv preprint arXiv:2206.12931},
year = {2022}
}
Comments
Speech for Social Good Workshop, 2022, Interspeech 2022