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In order to have a proper enhancement of dual microphone system, we require to estimate the time delay of arrival (TDOA) between the two microphone signals which is followed by the application of the proposed speech enhancement algorithm.
Time delay of arrival.
In this work, we propose an algorithm for acoustic source localization based on time delay of arrival (TDOA) estimation.
We compare existing time delay of arrival estimation techniques between pairs of widely spaced microphones and introduce a novel efficient hierarchical localization algorithm.
In addition, Badali et al.[15] investigated the accuracy of different time delay of arrival estimation audio localization implementations in the context of artificial audition for robotic systems.
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The approximate maximum-likelihood algorithm exploits the time-delay-of-arrival of acoustic signals at different sensors, and yields the source location.
The distances are usually obtained from the time or time-delay-of-arrival measurements using an estimated sound velocity.
With time-delay-of-arrival measurements, this error is doubled due to the two-way propagation path.
Angle-of-arrival and delay-of-arrival of the main paths and room electromagnetics are investigated for different frequency bands.
The task of localizing underwater assets involves the relative localization of each unit using only pair-wise distance measurements, usually obtained from time-of-arrival or time-delay-of-arrival measurements.
The task of localizing underwater assets involves the relative localization of each unit using only pairwise distance measurements, usually obtained from time-of-arrival or time-delay-of-arrival measurements.
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