15 citations · 21 across the 4 of their papers we have counts for
4 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…
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages
Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar +9
Despite the considerable advancements in English LLMs, the progress in building comparable models for other languages has been hindered due to the scarcity of tailored resources. O…
Aksharantar: Open Indic-language Transliteration datasets and models for the Next Billion Users
Yash Madhani, Sushane Parthan, Priyanka Bedekar +5
Transliteration is very important in the Indian language context due to the usage of multiple scripts and the widespread use of romanized inputs. However, few training and evaluati…