Real-time multiple sound source localization and counting using a soundfield microphone
In this work, a multiple sound source localization and counting method based on a relaxed
sparsity of speech signal is presented. A soundfield microphone is adopted to overcome the …
sparsity of speech signal is presented. A soundfield microphone is adopted to overcome the …
Direction of arrival estimation with uniform linear array based on recurrent neural network
This paper proposes the direction of arrival (DOA) estimation of an acoustic source based on
a recurrent neural network (RNN) with a uniform linear array (ULA). The RNN has been …
a recurrent neural network (RNN) with a uniform linear array (ULA). The RNN has been …
Separation of multiple speech sources by recovering sparse and non-sparse components from B-format microphone recordings
This paper proposes a blind source separation (BSS) method for recovering multiple speech
sources from sound fields recorded by a B-format microphone. This microphone provides a …
sources from sound fields recorded by a B-format microphone. This microphone provides a …
Direction-of-arrival estimation algorithms using single acoustic vector-sensor
Direction-of-arrival (DoA) estimation of an acoustic source has numerous applications
ranging from defence to entertainment industry. The DoA of an acoustic source can be …
ranging from defence to entertainment industry. The DoA of an acoustic source can be …
Support vector machine-based direction of arrival estimation with uniform linear array
This chapter proposes a direction of arrival (DOA) estimation of an acoustic source based on
support vector machine (SVM) with uniform linear array (ULA). The SVM has been trained …
support vector machine (SVM) with uniform linear array (ULA). The SVM has been trained …
Improved direction-of-arrival estimation of an acoustic source using support vector regression and signal correlation
The direction-of-arrival (DoA) estimation of an acoustic source can be estimated with a
uniform linear array using classical techniques such as generalized cross-correlation …
uniform linear array using classical techniques such as generalized cross-correlation …
Directional sparse filtering for blind estimation of under-determined complex-valued mixing matrices
We propose an algorithm that exploits the benefits of sparse filtering and directional
clustering when estimating under-determined mixing matrix from mixtures of sufficiently …
clustering when estimating under-determined mixing matrix from mixtures of sufficiently …
Deep and sparse learning in speech and language processing: An overview
Large-scale deep neural models, eg, deep neural networks (DNN) and recurrent neural
networks (RNN), have demonstrated significant success in solving various challenging tasks …
networks (RNN), have demonstrated significant success in solving various challenging tasks …
Support vector regression based direction of arrival estimation of an acoustic source
M Wajid, F Alam, S Yadav, MA Khan… - … on Innovation and …, 2020 - ieeexplore.ieee.org
The direction-of-arrival (DOA) estimation of an acoustic is instrumental in many applications
such as surveillance, robotics, defense, etc. This paper proposes the DOA estimation …
such as surveillance, robotics, defense, etc. This paper proposes the DOA estimation …
A Null space approach for complete and over-complete blind source separation of autoregressive source signals
This paper presents a method of blind source separation (BSS) of autoregressive (AR)
signals for complete and over-complete cases. It is based on a new separation matrix …
signals for complete and over-complete cases. It is based on a new separation matrix …