4 citations · 10 across the 11 of their papers we have counts for
11 papers
Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context
Akshay Kekuda, Murali Mohana Krishna Dandu, Rimita Lahiri +4
Modern e-commerce platforms strive to enhance customer experience by providing timely and contextually relevant recommendations. However, recommending general merchandise to custom…
MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events
Jialu Pi, Juan Maria Farina, Rimita Lahiri +7
Major Adverse Cardiovascular Events (MACE) remain the leading cause of mortality globally, as reported in the Global Disease Burden Study 2021. Opportunistic screening leverages da…
Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare
Amara Tariq, Rimita Lahiri, Charles Kahn +1
The intricate and multifaceted nature of vision language model (VLM) development, adaptation, and application necessitates the establishment of clear and standardized reporting pro…
Can Generic LLMs Help Analyze Child-adult Interactions Involving Children with Autism in Clinical Observation?
Tiantian Feng, Anfeng Xu, Rimita Lahiri +5
Large Language Models (LLMs) have shown significant potential in understanding human communication and interaction. However, their performance in the domain of child-inclusive inte…
Evaluation of Speech Foundation Models for ASR on Child-Adult Conversations in Autism Diagnostic Sessions
Aditya Ashvin, Rimita Lahiri, Aditya Kommineni +4
Reliable transcription of child-adult conversations in clinical settings is crucial for diagnosing developmental disorders like Autism. Recent advances in deep learning and availab…
Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism
Rimita Lahiri, Tiantian Feng, Rajat Hebbar +3
We address the problem of detecting who spoke when in child-inclusive spoken interactions i.e., automatic child-adult speaker classification. Interactions involving children are ri…
Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings
Anfeng Xu, Rajat Hebbar, Rimita Lahiri +5
Speech processing techniques are useful for analyzing speech and language development in children with Autism Spectrum Disorder (ASD), who are often varied and delayed in acquiring…
A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations
Rimita Lahiri, Md Nasir, Catherine Lord +2
Vocal entrainment is a social adaptation mechanism in human interaction, knowledge of which can offer useful insights to an individual's cognitive-behavioral characteristics. We pr…
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes
Rimita Lahiri, Kenichi Kumatani, Eric Sun +1
Multilingual end-to-end(E2E) models have shown a great potential in the expansion of the language coverage in the realm of automatic speech recognition(ASR). In this paper, we aim…
Understanding of Emotion Perception from Art
Digbalay Bose, Krishna Somandepalli, Souvik Kundu +3
Computational modeling of the emotions evoked by art in humans is a challenging problem because of the subjective and nuanced nature of art and affective signals. In this paper, we…
Learning Domain Invariant Representations for Child-Adult Classification from Speech
Rimita Lahiri, Manoj Kumar, Somer Bishop +1
Diagnostic procedures for ASD (autism spectrum disorder) involve semi-naturalistic interactions between the child and a clinician. Computational methods to analyze these sessions r…