activity
20202026
most citedThe INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

65 citations · 79 across the 18 of their papers we have counts for

collaborators

20 papers

cs.CL2026

Evaluation-as-Search: Adaptive Discovery of Grounding Failures in Meeting Assistants

Sami Khairy, Yasaman Hosseinkashi, Vishak Gopal +1

LLM-powered meeting assistants are deployed at scale, yet systematic evaluation of their grounding fidelity remains limited to static benchmarks that miss failure modes tied to spe…

cs.MM2025

Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication

Sami Khairy, Gabriel Mittag, Vishak Gopal +1

The quality of experience (QoE) delivered by video conferencing systems is significantly influenced by accurately estimating the time-varying available bandwidth between the sender…

cs.LG2024

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC

Aditya Soni, Mayukh Das, Anjaly Parayil +8

The difficulty of exploring and training online on real production systems limits the scope of real-time online data/feedback-driven decision making. The most feasible approach is…

cs.HC2024

A multidimensional measurement of photorealistic avatar quality of experience

Ross Cutler, Babak Naderi, Vishak Gopal +1

Photorealistic avatars are human avatars that look, move, and talk like real people. The performance of photorealistic avatars has significantly improved recently based on objectiv…

cs.NI2024

Offline Meta-learning for Real-time Bandwidth Estimation

Aashish Gottipati, Sami Khairy, Yasaman Hosseinkashi +4

Real-time video applications require dynamic bitrate adjustments based on network capacity, necessitating accurate bandwidth estimation (BWE). We introduce Ivy, a novel BWE method…

cs.NI2024★ 2 cited

ACM MMSys 2024 Bandwidth Estimation in Real Time Communications Challenge

Sami Khairy, Gabriel Mittag, Vishak Gopal +6

The quality of experience (QoE) delivered by video conferencing systems to end users depends in part on correctly estimating the capacity of the bottleneck link between the sender…