activity
20192024
most citedPAL: A Wearable Platform for Real-time, Personalized and Context-Aware Health and Cognition Support

3 citations · 10 across the 8 of their papers we have counts for

collaborators

10 papers

q-bio.NC2024★ 1 cited

Analyzing Speech Motor Movement using Surface Electromyography in Minimally Verbal Adults with Autism Spectrum Disorder

Wazeer Zulfikar, Nishat Protyasha, Camila Canales +13

Adults who are minimally verbal with autism spectrum disorder (mvASD) have pronounced speech difficulties linked to impaired motor skills. Existing research and clinical assessment…

eess.AS2024

Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness

Satyam Kumar, Sai Srujana Buddi, Utkarsh Oggy Sarawgi +6

Voice activity detection (VAD) is a critical component in various applications such as speech recognition, speech enhancement, and hands-free communication systems. With the increa…

cs.LG2023

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance

Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg +5

Streaming neural network models for fast frame-wise responses to various speech and sensory signals are widely adopted on resource-constrained platforms. Hence, increasing the lear…

cs.LG2023★ 2 cited

Efficient Multimodal Neural Networks for Trigger-less Voice Assistants

Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Tashweena Heeramun +4

The adoption of multimodal interactions by Voice Assistants (VAs) is growing rapidly to enhance human-computer interactions. Smartwatches have now incorporated trigger-less methods…

cs.LG2021

Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings

Utkarsh Sarawgi, Rishab Khincha, Wazeer Zulfikar +2

Reliability of machine learning (ML) systems is crucial in safety-critical applications such as healthcare, and uncertainty estimation is a widely researched method to highlight th…

cs.LG2020★ 1 cited

Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks

Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar +1

The problem of missing data has been persistent for a long time and poses a major obstacle in machine learning and statistical data analysis. Past works in this field have tried us…