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On the speaker`s position estimation using TDOA algorithm in vehicle environments
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 Title & Authors
On the speaker`s position estimation using TDOA algorithm in vehicle environments
Lee, Sang-Hun; Choi, Hong-Sub;
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This study is intended to compare the performances of sound source localization methods used for stable automobile control by improving voice recognition rate in automobile environment and suggest how to improve their performances. Generally, sound source location estimation methods employ the TDOA algorithm, and there are two ways for it; one is to use a cross correlation function in the time domain, and the other is GCC-PHAT calculated in the frequency domain. Among these ways, GCC-PHAT is known to have stronger characteristics against echo and noise than the cross correlation function. This study compared the performances of the two methods above in automobile environment full of echo and vibration noise and suggested the use of a median filter additionally. We found that median filter helps both estimation methods have good performances and variance values to be decreased. According to the experimental results, there is almost no difference in the two methods` performances in the experiment using voice; however, using the signal of a song, GCC-PHAT is 10% more excellent than the cross correlation function in terms of the recognition rate. Also, when the median filter was added, the cross correlation function`s recognition rate could be improved up to 11%. And in regarding to variance values, both methods showed stable performances.
GCC-PHAT;median filter;sound source localization;TDOA;
 Cited by
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