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2020 INTERSPEECH INTERSPEECH 2020

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

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/

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning and Mathematics & Optimization
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Baihan Lin , Xinxin Zhang

Topics

Artificial Intelligence > Learning Paradigms > Few-Shot Learning Machine Learning > Learning Types > Self-Supervised Learning Machine Learning > Learning Types > Semi-Supervised Learning Machine Learning > Learning Types > Unsupervised Learning Mathematics & Optimization > Optimization > Online Algorithms

Keywords

semi-supervised learning few-shot learning online learning self-supervised learning speaker recognition multi-speaker recognition
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