WISS，用于移动机器人的扬声器识别系统

2012 IEEE International Conference on Robotics and Automation Pub Date : 2012-05-14 DOI:10.1109/ICRA.2012.6224729

François Grondin, F. Michaud

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引用次数: 15

摘要

本文介绍了与ManyEars集成的移动机器人说话人识别系统WISS，该系统是一种声源定位、跟踪和分离系统。说话人识别包括在一群已知的说话人中识别一个人。对于移动机器人来说，在存在随时间变化的噪声的情况下进行说话人识别是一个重要的挑战。为了解决这个问题，WISS使用并行模型组合(PMC)和掩模来实时更新扬声器模型(在清洁条件下获得)到加性和卷积噪声。结果表明，当信噪比(SNR)为16 dB时，良好的说话人识别加权率平均为96%，而当信噪比降至2 dB时，加权率仅降至84%。

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WISS, a speaker identification system for mobile robots

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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来源期刊

2012 IEEE International Conference on Robotics and Automation

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