ICRA 2012 Paper Abstract


Paper TuD310.2

Grondin, Francois (Universite de Sherbrooke), Michaud, Francois (Universite de Sherbrooke)

WISS, a Speaker Identification System for Mobile Robots

Scheduled for presentation during the Interactive Session "Interactive Session TuD-3" (TuD310), Tuesday, May 15, 2012, 17:30−18:00, Ballroom D

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on October 15, 2018

Keywords Human Detection & Tracking, Recognition, Sensor Networks


This paper presents WISS, a speaker identification system for mobile robots integrated to ManyEars, a sound source localization, tracking and separation system. Speaker identification consists in recognizing an individual among a group of known speakers. For mobile robots, performing speaker identification in presence of noise that changes over time is one important challenge. To deal with this issue, WISS uses Parallel Model Combination (PMC) and masks to update in real-time the speaker models (obtained in clean conditions) to both additive and convolutive noises. The results show that the weighted rate of good speaker identifications is 96% on average for a Signal-to-Noise Ratio (SNR) of 16 dB, whereas it only decreases to 84% when the SNR drops to 2 dB.



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