326 citations · 717 across the 90 of their papers we have counts for
9 papers · 1 filter
IndicDLP: A Foundational Dataset for Multi-Lingual and Multi-Domain Document Layout Parsing
Oikantik Nath, Sahithi Kukkala, Mitesh Khapra +1
Document layout analysis is essential for downstream tasks such as information retrieval, extraction, OCR, and digitization. However, existing large-scale datasets like PubLayNet a…
The State Of TTS: A Case Study with Human Fooling Rates
Praveen Srinivasa Varadhan, Sherry Thomas, Sai Teja M. S. +2
While subjective evaluations in recent years indicate rapid progress in TTS, can current TTS systems truly pass a human deception test in a Turing-like evaluation? We introduce Hum…
NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data
Tahir Javed, Kaushal Bhogale, Mitesh M. Khapra
We introduce Nirantar, a comprehensive framework for evaluating continual learning (CL) in multilingual and multi-domain ASR. Designed to reflect real-world CL challenges, Nirantar…
FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes
Janki Atul Nawale, Mohammed Safi Ur Rahman Khan, Janani D +3
Existing studies on fairness are largely Western-focused, making them inadequate for culturally diverse countries such as India. To address this gap, we introduce INDIC-BIAS, a com…
Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women
Sakshi Joshi, Eldho Ittan George, Tahir Javed +3
Digital inclusion remains a challenge for marginalized communities, especially rural women in low-resource language regions like Bhojpuri. Voice-based access to agricultural servic…
Phir Hera Fairy: An English Fairytaler is a Strong Faker of Fluent Speech in Low-Resource Indian Languages
Praveen Srinivasa Varadhan, Srija Anand, Soma Siddhartha +1
What happens when an English Fairytaler is fine-tuned on Indian languages? We evaluate how the English F5-TTS model adapts to 11 Indian languages, measuring polyglot fluency, voice…
RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations
Ashwin Sankar, Yoach Lacombe, Sherry Thomas +3
We introduce RASMALAI, a large-scale speech dataset with rich text descriptions, designed to advance controllable and expressive text-to-speech (TTS) synthesis for 23 Indian langua…
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
Alan Saji, Jaavid Aktar Husain, Thanmay Jayakumar +3
Large Language Models (LLMs) exhibit strong multilingual performance despite being predominantly trained on English-centric corpora. This raises a fundamental question: How do LLMs…
Can Vision-Language Models Evaluate Handwritten Math?
Oikantik Nath, Hanani Bathina, Mohammed Safi Ur Rahman Khan +1
Recent advancements in Vision-Language Models (VLMs) have opened new possibilities in automatic grading of handwritten student responses, particularly in mathematics. However, a co…