Amala Nagireddi — accepted AI-conference papers

2025

RESPIN-S1.0: A read speech corpus of 10000+ hours in dialects of nine Indian Languages

Saurabh Kumar, Abhayjeet Singh, DEEKSHITHA G, Amartyaveer, Jesuraj Bandekar, Savitha Murthy +16

NeurIPS 2025poster

We introduce **RESPIN-S1.0**, the largest publicly available dialect-rich read-speech corpus for Indian languages, comprising more than 10,000 hours of validated audio across nine major languages: Bengali, Bhojpuri, Chhattisgarhi, Hindi, Kannada, Magahi, Maithili, Marathi, and Telugu. Indian languag…

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2023

Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech

Abhayjeet Singh, Amala Nagireddi, Deekshitha G, Jesuraja Bandekar, Roopa R., Sandhya Badiger +11

ICASSP 2023accepted

The Lightweight, Multi-speaker, Multi-lingual Indic Text-to-Speech (LIMMITS’23) challenge is organized as part of the ICASSP 2023 signal processing grand challenge. LIMMITS’23 aims at the development of a lightweight, multi-speaker, multi-lingual Text to Speech (TTS) model using datasets in Marathi,…

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