2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.AS2024
DiarizationLM: Speaker Diarization Post-Processing with Large Language Models
Quan Wang, Yiling Huang, Guanlong Zhao +3
In this paper, we introduce DiarizationLM, a framework to leverage large language models (LLM) to post-process the outputs from a speaker diarization system. Various goals can be a…
eess.AS2023★ 2 cited
Personalizing Keyword Spotting with Speaker Information
Beltrán Labrador, Pai Zhu, Guanlong Zhao +5
Keyword spotting systems often struggle to generalize to a diverse population with various accents and age groups. To address this challenge, we propose a novel approach that integ…
eess.AS2023
Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network
Yiling Huang, Weiran Wang, Guanlong Zhao +3
While standard speaker diarization attempts to answer the question "who spoken when", most of relevant applications in reality are more interested in determining "who spoken what".…