Abstract
Robust time delay estimation based on non-Gaussian impulsive acoustic channel
Highlights
The time delay estimation (TDE) for speech and audio signals is crucial to many applications and some emerging technologies, for instance, to the smart speakers, robots, integrated media, and assistive technologies
An approach based on fractional lower order statistics (FLOS) available in α-stable noises is proposed [4], this method relies on the estimating of the characteristic exponent of the model
Proof-of-concept computer simulations evaluated the NLTPHAT against generalized crosscorrelation (GCC)-phase transform (PHAT), and FLOS-PHAT methods, as shown in Figures 1 and 2
Summary
The time delay estimation (TDE) for speech and audio signals is crucial to many applications and some emerging technologies, for instance, to the smart speakers, robots, integrated media, and assistive technologies. The channels subject to impulsive noise are more accurately characterized as non-Gaussian processes [1], [2], many TDE methods assume implicitly or explicitly that the signal observations are Gaussian distributed. This assumption is found in generalized crosscorrelation (GCC) techniques, and their different frequency domain weighting such as phase transform (GCC-PHAT) [3], Roth weighting (GCC-ROTH), and smoothed coherence factor weighting (GCC-SCOT). An approach based on fractional lower order statistics (FLOS) available in α-stable noises is proposed [4], this method relies on the estimating of the characteristic exponent of the model
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
