Zobrazeno 1 - 10
of 20 301
pro vyhledávání: '"P. Pillai"'
This paper presents a novel multistage fine-tuning strategy designed to enhance automatic speech recognition (ASR) performance in low-resource languages using OpenAI's Whisper model. In this approach we aim to build ASR model for languages with limit
Externí odkaz:
http://arxiv.org/abs/2411.04573
In optimal experimental design, the objective is to select a limited set of experiments that maximizes information about unknown model parameters based on factor levels. This work addresses the generalized D-optimal design problem, allowing for nonli
Externí odkaz:
http://arxiv.org/abs/2411.01405
Autor:
Pardawala, Huzaifa, Sukhani, Siddhant, Shah, Agam, Kejriwal, Veer, Pillai, Abhishek, Bhasin, Rohan, DiBiasio, Andrew, Mandapati, Tarun, Adha, Dhruv, Chava, Sudheer
Fact-checking is extensively studied in the context of misinformation and disinformation, addressing objective inaccuracies. However, a softer form of misinformation involves responses that are factually correct but lack certain features such as clar
Externí odkaz:
http://arxiv.org/abs/2410.20651
Photoplethysmography (PPG) is the most widely used non-invasive technique for monitoring biosignals and cardiovascular health, with applications in both clinical settings and consumer health through wearable devices. Current machine learning models t
Externí odkaz:
http://arxiv.org/abs/2410.20542
Autor:
Nepal, Subigya, Pillai, Arvind, Campbell, William, Massachi, Talie, Heinz, Michael V., Kunwar, Ashmita, Choi, Eunsol Soul, Xu, Orson, Kuc, Joanna, Huckins, Jeremy, Holden, Jason, Preum, Sarah M., Depp, Colin, Jacobson, Nicholas, Czerwinski, Mary, Granholm, Eric, Campbell, Andrew T.
Mental health concerns are prevalent among college students, highlighting the need for effective interventions that promote self-awareness and holistic well-being. MindScape pioneers a novel approach to AI-powered journaling by integrating passively
Externí odkaz:
http://arxiv.org/abs/2409.09570
Autor:
O'Connor, Martin J., Hardi, Josef, Martínez-Romero, Marcos, Somasundaram, Sowmya, Honick, Brendan, Fisher, Stephen A., Pillai, Ajay, Musen, Mark A.
Scientists increasingly recognize the importance of providing rich, standards-adherent metadata to describe their experimental results. Despite the availability of sophisticated tools to assist in the process of data annotation, investigators general
Externí odkaz:
http://arxiv.org/abs/2409.08897
Autor:
Badrinarayanan, Saikrishna, Osoba, Osonde, Cheng, Miao, Rogers, Ryan, Jain, Sakshi, Tandra, Rahul, Pillai, Natesh S.
AI fairness measurements, including tests for equal treatment, often take the form of disaggregated evaluations of AI systems. Such measurements are an important part of Responsible AI operations. These measurements compare system performance across
Externí odkaz:
http://arxiv.org/abs/2409.04652
Autor:
Bij, Akanksha, Fissel, Laura M., Bonne, Lars, Schneider, Nicola, Berthoud, Marc, Lee, Dennis, Novak, Giles A., Sadavoy, Sarah I., Pillai, Thushara G. S., Cunningham, Maria, Jones, Paul, Simon, Robert
We use polarization data from SOFIA HAWC+ to investigate the interplay between magnetic fields and stellar feedback in altering gas dynamics within the high-mass star-forming region RCW 36, located in Vela C. This region is of particular interest as
Externí odkaz:
http://arxiv.org/abs/2409.03558
This paper explores the pitfalls in evaluating multilingual automatic speech recognition (ASR) models, with a particular focus on Indic language scripts. We investigate the text normalization routine employed by leading ASR models, including OpenAI W
Externí odkaz:
http://arxiv.org/abs/2409.02449
Autor:
Zhao, Daniel, Pillai, Natesh S.
Parallel tempering is meta-algorithm for Markov Chain Monte Carlo that uses multiple chains to sample from tempered versions of the target distribution, enhancing mixing in multi-modal distributions that are challenging for traditional methods. The e
Externí odkaz:
http://arxiv.org/abs/2409.01574