VoiceID on the fly: A Speaker Recognition System that Learns from Scratch
Year: 2020
Type: conference-paper
Abstract: We proposed a novel AI framework to conduct real-time multi-speaker recognition without any prior registration or pretraining by learning the speaker identification on the fly. We considered the practical problem of online learning with episodically revealed rewards and introduced a solution based on semi-supervised and self-supervised learning methods in a web-based application at https://www.baihan.nyc/viz/VoiceID/.
Source: HAL
Authors: Lin, Baihan, Zhang, Xinxin
Institutions: University of Washington, Columbia University, New York University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3096606357