3 papers
eess.AS2023
Frame-wise and overlap-robust speaker embeddings for meeting diarization
Tobias Cord-Landwehr, Christoph Boeddeker, Cătălin Zorilă +2
Using a Teacher-Student training approach we developed a speaker embedding extraction system that outputs embeddings at frame rate. Given this high temporal resolution and the fact…
eess.AS2022
Utterance-by-utterance overlap-aware neural diarization with Graph-PIT
Keisuke Kinoshita, Thilo von Neumann, Marc Delcroix +2
Recent speaker diarization studies showed that integration of end-to-end neural diarization (EEND) and clustering-based diarization is a promising approach for achieving state-of-t…
eess.AS2019
All-neural online source separation, counting, and diarization for meeting analysis
Thilo von Neumann, Keisuke Kinoshita, Marc Delcroix +3
Automatic meeting analysis comprises the tasks of speaker counting, speaker diarization, and the separation of overlapped speech, followed by automatic speech recognition. This all…