Diaper: End-to-end neural diarization with perceiver-based attractors
Until recently, the field of speaker diarization was dominated by cascaded systems. Due to
their limitations, mainly regarding overlapped speech and cumbersome pipelines, end-to …
their limitations, mainly regarding overlapped speech and cumbersome pipelines, end-to …
Transformer Attractors for Robust and Efficient End-To-End Neural Diarization
L Samarakoon, SJ Broughton… - 2023 IEEE Automatic …, 2023 - ieeexplore.ieee.org
End-to-end neural diarization with encoder-decoder based attractors (EEND-EDA) is a
method to perform diarization in a single neural network. EDA handles the diarization of a …
method to perform diarization in a single neural network. EDA handles the diarization of a …
Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?
In this paper, we apply the variational information bottleneck approach to end-to-end neural
diarization with encoder-decoder attractors (EEND-EDA). This allows us to investigate what …
diarization with encoder-decoder attractors (EEND-EDA). This allows us to investigate what …
Look Attentively to Hear: Audio-Visual Speaker Extraction
P Zexu - 2023 - search.proquest.com
Human has the inherent ability to selectively listen to a speaker in the presence of
interference speakers and background noise. Speaker extraction (SE) algorithm mimics …
interference speakers and background noise. Speaker extraction (SE) algorithm mimics …