WISS, a speaker identification system for mobile robots

Author

Grondin, François ; Michaud, François

Author_Institution

Dept. of Electr. Eng. & Comput. Eng., Univ. de Sherbrooke, Sherbrooke, QC, Canada

fYear

2012

fDate

14-18 May 2012

Firstpage

1817

Lastpage

1822

Abstract

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.

Keywords

mobile robots; speaker recognition; ManyEars; SNR; WISS; mobile robots; parallel model combination; separation system; signal-to-noise ratio; sound source localization; speaker identification system; Hidden Markov models; Microphones; Noise measurement; Signal to noise ratio; Speech; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation (ICRA), 2012 IEEE International Conference on

Conference_Location

Saint Paul, MN

ISSN

1050-4729

Print_ISBN

978-1-4673-1403-9

Electronic_ISBN

1050-4729

Type

conf

DOI

10.1109/ICRA.2012.6224729

Filename

6224729