activity
20162024
most citedAI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages

43 citations · 77 across the 23 of their papers we have counts for

collaborators

42 papers

cs.CL2024

IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

Ashwin Sankar, Srija Anand, Praveen Srinivasa Varadhan +7

Recent advancements in text-to-speech (TTS) synthesis show that large-scale models trained with extensive web data produce highly natural-sounding output. However, such data is sca…

cs.CL2024

Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings

Praveen Srinivasa Varadhan, Ashwin Sankar, Giri Raju +1

We release Rasa, the first multilingual expressive TTS dataset for any Indian language, which contains 10 hours of neutral speech and 1-3 hours of expressive speech for each of the…

cs.CL20222 cited

Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons

Akash Kumar Mohankumar, Mitesh M. Khapra

Recent studies have shown the advantages of evaluating NLG systems using pairwise comparisons as opposed to direct assessment. Given systems, a naive approach for identifying t…

cs.LG2022

Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages

Emil Biju, Anirudh Sriram, Mitesh M. Khapra +1

Gesture typing is a method of typing words on a touch-based keyboard by creating a continuous trace passing through the relevant keys. This work is aimed at developing a keyboard t…

cs.CL2022

Input-specific Attention Subnetworks for Adversarial Detection

Emil Biju, Anirudh Sriram, Pratyush Kumar +1

Self-attention heads are characteristic of Transformer models and have been well studied for interpretability and pruning. In this work, we demonstrate an altogether different util…

cs.CL20211 cited

OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages

Prem Selvaraj, Gokul NC, Pratyush Kumar +1

AI technologies for Natural Languages have made tremendous progress recently. However, commensurate progress has not been made on Sign Languages, in particular, in recognizing sign…