Samuele Cornell (@samuelecornell) 's Twitter Profile
Samuele Cornell

@samuelecornell

Post-doc @ CMU LTI. Audio and speech researcher.

ID: 1359140127889588226

linkhttps://github.com/popcornell calendar_today09-02-2021 14:01:05

167 Tweet

858 Followers

516 Following

Samuele Cornell (@samuelecornell) 's Twitter Profile Photo
Samuele Cornell
@samuelecornell

3 months ago

This is a very cool work on speech separation in real world settings (AMI meeting). It is robust because it is weakly supervised (diarization labels only) and thus can be trained on real world data, unlike most neural methods which have to rely on synthetic data.