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InterSpeech 2020 - VoiceID on the fly: A Speaker Recogniti

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Show & Tell Demo at InterSpeech 2020

"VoiceID on the fly: A Speaker Recognition System that Learns from Scratch"

Baihan Lin (UW) & Xinxin Zhang (UW)

Paper: arxiv.org/abs/2006.04376

Code: github.com/doerlbh/MiniVox
Demo: baihan.nyc/viz/VoiceID/

Abstract:

We proposed a novel AI framework to conduct real-time multi-speaker recognition without any prior registration or pre- training by learning the speaker identification on the fly. We considered the practical problem of online learning with episod- ically revealed rewards and introduced a solution based on semi-supervised and self-supervised learning methods in a web- based application at baihan.nyc/viz/VoiceID/.

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