Topic-Conversation Relevance (TCR) Dataset and Benchmarks

1 code implementation • 29 Oct 2024 • Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler

Workplace meetings are vital to organizational collaboration, yet a large percentage of meetings are rated as ineffective.

Diversity

Improving Meeting Inclusiveness using Speech Interruption Analysis

no code implementations • 2 Apr 2023 • Szu-Wei Fu, Yaran Fan, Yasaman Hosseinkashi, Jayant Gupchup, Ross Cutler

In order to drive adoption of its usage to improve inclusiveness (and participation), we present a machine learning-based system that predicts when a meeting participant attempts to obtain the floor, but fails to interrupt (termed a `failed interruption').

Real-time Speech Interruption Analysis: From Cloud to Client Deployment

no code implementations • 24 Oct 2022 • Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler

Meetings are an essential form of communication for all types of organizations, and remote collaboration systems have been much more widely used since the COVID-19 pandemic.

Speech Interruption Detection

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

no code implementations • 23 Nov 2020 • Jayant Gupchup, Ashkan Aazami, Yaran Fan, Senja Filipi, Tom Finley, Scott Inglis, Marcus Asteborg, Luke Caroll, Rajan Chari, Markus Cozowicz, Vishak Gopal, Vinod Prakash, Sasikanth Bendapudi, Jack Gerrits, Eric Lau, Huazhou Liu, Marco Rossi, Dima Slobodianyk, Dmitri Birjukov, Matty Cooper, Nilesh Javar, Dmitriy Perednya, Sriram Srinivasan, John Langford, Ross Cutler, Johannes Gehrke

Large software systems tune hundreds of 'constants' to optimize their runtime performance.

Friction Multi-Armed Bandits