Papers by Aparna Joshi
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages (2024.findings-acl)
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Tahir Javed, Janki Nawale, Eldho George, Sakshi Joshi, Kaushal Bhogale, Deovrat Mehendale, Ishvinder Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Gandhi, Ambujavalli R, Manickam M, C Vaijayanthi, Krishnan Karunganni, Pratyush Kumar, Mitesh Khapra
| Challenge: | Using INDICVOICES, we build the first ASR model to support all 22 languages listed in the 8th Schedule of the Constitution of India. |
| Approach: | They propose a dataset of natural and spontaneous speech from 16237 speakers covering 145 Indian districts and 22 languages. |
| Outcome: | The proposed dataset contains 7348 hours of read, extempore and conversational audio from 16237 speakers covering 145 Indian districts and 22 languages. |
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble (2024.emnlp-industry)
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| Challenge: | Increasing use of large language models (LLMs) require performant guardrails to ensure the safety of inputs and outputs . when these guardrail are trained on imbalanced data, they can learn the societal biases resulting from the model's performance. |
| Approach: | They propose a method for mitigating counterfactual fairness in closed-source text safety classifiers by using a debiasing regularizer and a threshold-agnostic metric. |
| Outcome: | The proposed method outperforms classifiers and acts as a debiasing regularizer . it uses threshold-agnostic metrics and Fair Data Reweighting (FDW) to assess the counterfactual fairness of a model . |