Ahmad Hashemi-Sakhtsari

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The paper presents a simple recursive solution to passive tracking of maneuvering targets using time difference of arrival (TDOA) measurements. Firstly, an iterative Gauss–Newton algorithm is developed for stationary target localization based on a constrained weighted least-squares (CWLS) criterion. The advantages of the CWLS estimate are its inherent(More)
This paper presents a sensor array position calibration algorithm for determining the positions of individual microphones in a linear array automatically from time-difference of arrival measurements obtained from a mobile sounding source. The algorithm uses a nonlinear least squares method to determine the interspacing of microphones that are located along(More)
A simple recursive tracking algorithm for moving sources is developed based on time difference of arrival (TDOA) measurements. The proposed algorithm uses location estimates obtained from a stationary source localization algorithm and smoothes them according to a general motion model for the source. The motion model allows for source acceleration. A unified(More)
This paper presents a three dimensional sensor and source position calibration algorithm for automatically determining the positions of individual microphones in a three dimensional space with at least one linear sub array of sensors. Time-difference of arrival measurements were obtained from a mobile sounding source. The algorithm uses a nonlinear least(More)
This paper investigates the performance of three speaker-independent speech recognisers (SISRs) that support continuous speech and are currently available for speaker-independent recognition of English. These speech recognisers were tested using a subset of the Australian National Database Of Spoken Language (ANDOSL) for the recognition of digits, sentences(More)
This paper introduces a Direction of Arrival (DOA) estimation technique for microphone arrays that has improved robustness in reverberant environments. The technique applies a separate beamformer at each frequency to estimate the DOA of the speech signal at that frequency. A histogram of the DOA estimates from all frequencies is then formed, which(More)
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