Shota Horiguchi

End-To-End Speaker Diarization as Post-Processing

2021

This paper investigates the utilization of an end-to-end diarization model as post-processing of conventional clustering-based diarization. Clustering-based diarization methods partition frames into clusters of the number of speakers; thus, they typically cannot handle overlapping speech …

Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors

2022 · arXiv (Cornell University)

A method to perform offline and online speaker diarization for an unlimited number of speakers is described in this paper. End-to-end neural diarization (EEND) has achieved overlap-aware speaker diarization by formulating it as a multi-label …

Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization

2022 · arXiv (Cornell University)

This paper investigates a method for simulating natural conversation in the model training of end-to-end neural diarization (EEND). Due to the lack of any annotated real conversational dataset, EEND is usually pretrained on a large-scale …