activity
20192026
most citedMachine Learning at Microsoft with ML .NET

53 citations · 86 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2026

Adapting Personalized Speech Enhancement for Low-Latency Audio-Visual Target-Speaker Extraction

Rayhan Rashed, Senja Filipi, Ross Cutler

Online audio-visual target-speaker extraction aims to remove competing voices while preserving speech quality and bounding lookahead. Existing extractors are built and evaluated fo…

cs.CL2024

Topic-Conversation Relevance (TCR) Dataset and Benchmarks

Yaran Fan, Jamie Pool, Senja Filipi +1

Workplace meetings are vital to organizational collaboration, yet a large percentage of meetings are rated as ineffective. To help improve meeting effectiveness by understanding if…

cs.HC2021★ 33 cited

Meeting Effectiveness and Inclusiveness in Remote Collaboration

Ross Cutler, Yasaman Hosseinkashi, Jamie Pool +4

A primary goal of remote collaboration tools is to provide effective and inclusive meetings for all participants. To study meeting effectiveness and meeting inclusiveness, we first…

cs.AI2020

Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication

Jayant Gupchup, Ashkan Aazami, Yaran Fan +23

Large software systems tune hundreds of 'constants' to optimize their runtime performance. These values are commonly derived through intuition, lab tests, or A/B tests. A 'one-size…

cs.LG2019★ 53 cited

Machine Learning at Microsoft with ML .NET

Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko +31

Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate t…