4 citations · 5 across the 3 of their papers we have counts for
3 papers
Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling
Kaushal Santosh Bhogale, Deovrat Mehendale, Niharika Parasa +4
In this study, we tackle the challenge of limited labeled data for low-resource languages in ASR, focusing on Hindi. Specifically, we explore pseudo-labeling, by proposing a generi…
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages
Tahir Javed, Janki Atul Nawale, Eldho Ittan George +18
We present INDICVOICES, a dataset of natural and spontaneous speech containing a total of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 speaker…
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages
Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed +4
End-to-end (E2E) models have become the default choice for state-of-the-art speech recognition systems. Such models are trained on large amounts of labelled data, which are often n…