Schema-based modeling of phonemic restoration. - Soundararajan Srinivasan; DeLiang Wang (INTERSPEECH, 2003)

Phonetic ignorance is bliss: investigating the effects of phonetic information reduction on ASR performance. - Eric Fosler-Lussier; C. Anton Rytting; Soundararajan Srinivasan (INTERSPEECH, 2005)

Modeling the perception of multitalker speech. - Soundararajan Srinivasan; DeLiang Wang (INTERSPEECH, 2005)

A schema-based model for phonemic restoration. - Soundararajan Srinivasan; DeLiang L. Wang (Speech Commun., 2005)

Speech Recognition in Multisource Reverberant Environments with Binaural Inputs. - Nicoleta Roman; Soundararajan Srinivasan; DeLiang Wang (ICASSP (1), 2006)

A Supervised Learning Approach to Uncertainty Decoding for Robust Speech Recognition. - Soundararajan Srinivasan; DeLiang Wang (ICASSP (1), 2006)

A computational auditory scene analysis system for robust speech recognition. - Soundararajan Srinivasan; Yang Shao; Zhaozhang Jin; DeLiang Wang (INTERSPEECH, 2006)

Binary and ratio time-frequency masks for robust speech recognition. - Soundararajan Srinivasan; Nicoleta Roman; DeLiang L. Wang (Speech Commun., 2006)

Incorporating Auditory Feature Uncertainties in Robust Speaker Identification. - Yang Shao; Soundararajan Srinivasan; DeLiang Wang (ICASSP (4), 2007)

Exploiting Uncertainties for Binaural Speech Recognition. - Soundararajan Srinivasan; Nicoleta Roman; DeLiang Wang (ICASSP (4), 2007)

Transforming Binary Uncertainties for Robust Speech Recognition. - Soundararajan Srinivasan; DeLiang L. Wang (IEEE Trans. Speech Audio Process., 2007)

Design and implementation of an automated human activity monitoring application for wearable devices. - Hari Thiruvengada; Soundararajan Srinivasan; Aca Gacic (SMC, 2008)

An auditory-based feature for robust speech recognition. - Yang Shao; Zhaozhang Jin; DeLiang Wang; Soundararajan Srinivasan (ICASSP, 2009)

Using weak supervision in learning Gaussian mixture models. - Soumya Ghosh; Soundararajan Srinivasan; Burton Andrews (IJCNN, 2009)

Multisensor Fusion in Smartphones for Lifestyle Monitoring. - Raghu Kiran Ganti; Soundararajan Srinivasan; Aca Gacic (BSN, 2010)

A computational auditory scene analysis system for speech segregation and robust speech recognition. - Yang Shao; Soundararajan Srinivasan; Zhaozhang Jin; DeLiang Wang (Comput. Speech Lang., 2010)

Robust speech recognition by integrating speech separation and hypothesis testing. - Soundararajan Srinivasan; DeLiang L. Wang (Speech Commun., 2010)

A scalable solution for group feature selection. - Priya Govindan; Ruobing Chen 001; Katya Scheinberg; Soundararajan Srinivasan (IEEE BigData, 2015)

Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. - Olga Poppe; Tayo Amuneke; Dalitso Banda; Aritra De; Ari Green; Manon Knoertzer; Ehi Nosakhare; Karthik Rajendran; Deepak Shankargouda; Meina Wang; Alan Au; Carlo Curino; et al. (Proc. VLDB Endow., 2020)

Optimal Resource Allocation for Serverless Queries. - Anish Pimpley; Shuo Li; Anubha Srivastava; Vishal Rohra; Yi Zhu; Soundararajan Srinivasan; Alekh Jindal; Hiren Patel; Shi Qiao 001; Rathijit Sen (CoRR, 2021)

On Optimizing Interventions in Shared Autonomy. - Weihao Tan; David Koleczek; Siddhant Pradhan; Nicholas Perello; Vivek Chettiar; Vishal Rohra; Aaslesha Rajaram; Soundararajan Srinivasan; H. M. Sajjad Hossain; Yash Chandak (AAAI, 2022)

Towards Optimal Resource Allocation for Big Data Analytics. - Anish Pimpley; Shuo Li; Rathijit Sen; Soundararajan Srinivasan; Alekh Jindal (EDBT, 2022)

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content. - Apurva Gandhi; Ryan Serrao; Biyi Fang; Gilbert Antonius; Jenna Hong; Tra My Nguyen; Sheng Yi; Ehi Nosakhare; Irene Shaffer; Soundararajan Srinivasan (EMNLP (Industry Track), 2022)

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content. - Apurva Gandhi; Ryan Serrao; Biyi Fang; Gilbert Antonius; Jenna Hong; Tra My Nguyen; Sheng Yi; Ehi Nosakhare; Irene Shaffer; Soundararajan Srinivasan; Vivek Gupta (CoRR, 2022)

Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats. - Reshmi Ghosh; Harjeet Singh Kajal; Sharanya Kamath; Dhuri Shrivastava; Samyadeep Basu; Soundararajan Srinivasan (CoRR, 2022)

On Surgical Fine-tuning for Language Encoders. - Abhilasha Lodha; Gayatri Belapurkar; Saloni Chalkapurkar; Yuanming Tao; Reshmi Ghosh; Samyadeep Basu; Dmitrii Petrov; Soundararajan Srinivasan (EMNLP (Findings), 2023)

Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models. - Reshmi Ghosh; Harjeet Singh Kajal; Sharanya Kamath; Dhuri Shrivastava; Samyadeep Basu; Hansi Zeng; Soundararajan Srinivasan (CoRR, 2023)

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. - Hitesh Wadhwa; Rahul Seetharaman; Somyaa Aggarwal; Reshmi Ghosh; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. - Reshmi Ghosh; Rahul Seetharaman; Hitesh Wadhwa; Somyaa Aggarwal; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis. - Anushka Yadav; Isha Nalawade; Srujana Pillarichety; Yashwanth Babu; Reshmi Ghosh; Samyadeep Basu; Wenlong Zhao 001; Ali Nasaeh; Sriram Balasubramanian; Soundararajan Srinivasan (CoRR, 2025)