Search Results for author:
Found 6 papers, 0 papers with code
Blind identification of Ambisonic reduced room impulse response
In the present work, we suggest to circumvent this problem by directly modeling the impulse responses constituting the GTVV time series, which permits not only to relax the initial assumptions, but also to extract the information therein in a more consistent and efficient manner, entering the realm of blind system identification.
Echo-enabled Direction-of-Arrival and range estimation of a mobile source in Ambisonic domain
Range estimation of a far field sound source in a reverberant environment is known to be a notoriously difficult problem, hence most localization methods are only capable of estimating the source's Direction-of-Arrival (DoA).
Generalized Time Domain Velocity Vector
We introduce and analyze Generalized Time Domain Velocity Vector (GTVV), an extension of the previously presented acoustic multipath footprint extracted from the Ambisonic recordings.
A Survey of Sound Source Localization with Deep Learning Methods
This article is a survey on deep learning methods for single and multiple sound source localization.
Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings
We present a CNN architecture for speech enhancement from multichannel first-order Ambisonics mixtures.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Scattering Features for Multimodal Gait Recognition
We consider the problem of identifying people on the basis of their walk (gait) pattern.
