Search Results for author:
Found 3 papers, 1 papers with code
NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription
The challenge focuses on distant speaker diarization and automatic speech recognition (DASR) in far-field meeting scenarios, with single-channel and known-geometry multi-channel tracks, and serves as a launch platform for two new datasets: First, a benchmarking dataset of 315 meetings, averaging 6 minutes each, capturing a broad spectrum of real-world acoustic conditions and conversational dynamics.
Model-X Sequential Testing for Conditional Independence via Testing by Betting
Our test can work with any sophisticated machine learning algorithm to enhance data efficiency to the extent possible.
Learning to Increase the Power of Conditional Randomization Tests
This is done by introducing a new cost function that aims at maximizing the test statistic used to measure violations of conditional independence.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
