IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages

no code implementations • 4 Mar 2024 • Tahir Javed, Janki Atul Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K M, C Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh M Khapra

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.

Input-specific Attention Subnetworks for Adversarial Detection

no code implementations • Findings (ACL) 2022 • Emil Biju, Anirudh Sriram, Pratyush Kumar, Mitesh M Khapra

We also demonstrate that our method (a) is more accurate for larger models which are likely to have more spurious correlations and thus vulnerable to adversarial attack, and (b) performs well even with modest training sets of adversarial examples.

Adversarial Attack

A Joint Training Framework for Open-World Knowledge Graph Embeddings

no code implementations • AKBC 2021 • Karthik V, Beethika Tripathi, Mitesh M Khapra, Balaraman Ravindran

However, we find that existing approaches suffer from one or more of four drawbacks – 1) They are not modular with respect to the choice of the KG embedding model 2) They ignore best practices for aligning two embedding spaces 3) They do not account for differences in training strategy needed when presented with datasets with different description sizes and 4) They do not produce entity embeddings for use by downstream tasks.

Dialogue Generation Entity Embeddings +4