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IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages
March 5, 2024, 2:52 p.m. | Tahir Javed, Janki Atul Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Anantha
cs.CL updates on arXiv.org arxiv.org
Abstract: 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 speakers covering 145 Indian districts and 22 languages. Of these 7348 hours, 1639 hours have already been transcribed, with a median of 73 hours per language. Through this paper, we share our journey of capturing the cultural, linguistic and demographic diversity of India to create a one-of-its-kind inclusive …
abstract arxiv audio building conversational cs.cl dataset indian indian languages languages multilingual natural speakers speech total type
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