TDOA Estimation of Speech Source in Noisy Reverberant Environments

Bu, Suliang; Zhao, Tuo; Zhao, Yunxin

doi:10.1109/slt54892.2023.10023256

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…The work outlined in [17] addresses the challenge of noise and reverberation in time difference of arrival (TDOA) estimation. This research introduces two methods to estimate TDOA in environments affected by noise and reverberation effectively.…”

Section: Time-delay Estimation Approachesmentioning

confidence: 99%

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum

Fernandes,

Apolinário,

de Seixas

2024

Sensors

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Accurate direction of arrival (DoA) estimation is paramount in various fields, from surveillance and security to spatial audio processing. This work introduces an innovative approach that refines the DoA estimation process and demonstrates its applicability in diverse and critical domains. We propose a two-stage method that capitalizes on the often-overlooked secondary peaks of the cross-correlation function by introducing a reduced complexity DoA estimation method. In the first stage, a low complexity cost function based on the zero cyclic sum (ZCS) condition is used to allow for an exhaustive search of all combinations of time delays between pairs of microphones, including primary peak and secondary peaks of each cross-correlation. For the second stage, only a subset of the time delay combinations with the lowest ZCS cost function need to be tested using a least-squares (LS) solution, which requires more computational effort. To showcase the versatility and effectiveness of our method, we apply it to the challenging acoustic-based drone DoA estimation scenario using an array of four microphones. Through rigorous experimentation with simulated and actual data, our research underscores the potential of our proposed DoA estimation method as an alternative for handling complex acoustic scenarios. The ZCS method demonstrates an accuracy of 89.4%±2.7%, whereas the ZCS with the LS method exhibits a notably higher accuracy of 94.0%±3.1%, showcasing the superior performance of the latter.

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Section: Time-delay Estimation Approachesmentioning

confidence: 99%

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum

Fernandes,

Apolinário,

de Seixas

2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Sound source direction identification [6] gives important information that may be applied in a variety of ways. As a result, several works [7,8] have previously been done using different methods for developing sound source localization systems in noisy reverberant environments [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Design and Performance Analysis of Sound Source Localization using Time Difference of Arrival Estimation

Nur Syaza Syahira Mohammud@Mahmud,

Ili Shairah Abdul Halim,

Siti Lailatul Mohd Hassan

et al. 2023

ARAM

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Sound source localization (SSL) is a process of processing sound signals received from sound sensors and locating the sound origin. In many applications, precise localization of these sound sources is crucial. The accuracy of the localization of the sound source depends on several factors, and one of the factors is the number of sound sensors. This work aims to develop a microcontroller-based sound sensor localization system using the Time Difference of Arrival (TDOA) method, as well as to analyze SSL by comparing the time difference received by two and three sound sensors with respect to the distance of sound, and to compare the angle accuracy of the sound localization through TDOA with the real sound location. A few experimental tests were conducted using a constant sound of 90db and a frequency range of sound of 50Hz to 10kHz. The mean error (inaccuracy) of the experimental test of the angle acquired within 5cm of the source is 34.66°, while the angle obtained within 10cm of the source is 34.29°. The difference in angle inaccuracy between two and three sensors has a reduction of 27.64%. By adding more sound sensors, angle accuracy can be increased through the TDOA method.

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TDOA Estimation of Speech Source in Noisy Reverberant Environments

Cited by 2 publications

References 27 publications

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum

Design and Performance Analysis of Sound Source Localization using Time Difference of Arrival Estimation

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