Semi-supervised audio-driven TV-news speaker diarization using deep neural embeddings
Author:
Affiliation:
1. Aristotle University of Thessaloniki, Thessaloniki, Greece
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
https://asa.scitation.org/doi/pdf/10.1121/10.0002924
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Using deep learning to improve the intelligibility of a target speaker in noisy multi-talker environments for people with normal hearing and hearing loss;The Journal of the Acoustical Society of America;2024-07-01
2. Multisensory Fusion for Unsupervised Spatiotemporal Speaker Diarization;Sensors;2024-06-29
3. Perceptual Analysis of Speaker Embeddings for Voice Discrimination between Machine And Human Listening;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
4. Theory and Applications of Web 3.0 in the Media Sector;Future Internet;2023-04-28
5. Improving Multiparty Interactions with a Robot Using Large Language Models;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
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