Speech enhancement combining spectral subtraction and beamforming techniques for microphone array

Gala, Deepak; Vasoya, A.; Misra, V. M.

doi:10.1145/1741906.1741938

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…Figure 1 shows the process of delay estimation between y 1 (t) and y 2 (t), where H 1 (f ) and H 2 (f ) represent scaling functions or pre-filters [30]. Various techniques can be used to eliminate or reduce the effect of background noise and reverberations [8,9,18,19,36,44]. An improved version of the cross-correlation method incorporating H 1 (f ) and H 2 (f ) is called Generalized Cross-Correlation (GCC) [30], which further improves the estimation of time delay.…”

Section: Calculation Of Itdmentioning

confidence: 99%

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Realtime Active Sound Source Localization for Unmanned Ground Robots Using a Self-Rotational Bi-Microphone Array

Gala

Lindsay

Sun

2018

J Intell Robot Syst

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the date of receipt and acceptance should be inserted laterThis work presents a novel technique that performs both orientation and distance localization of a sound source in a three-dimensional (3D) space using only the interaural time difference (ITD) cue, generated by a newly-developed self-rotational bi-microphone robotic platform. The system dynamics is established in the spherical coordinate frame using a state-space model. The observability analysis of the state-space model shows that the system is unobservable when the sound source is placed with elevation angles of 90 and 0 degree. The proposed method utilizes the difference between the azimuth estimates resulting from respectively the 3D and the two-dimensional models to check the zero-degreeelevation condition and further estimates the elevation angle using a polynomial curve fitting approach. Also, the proposed method is capable of detecting a 90-degree elevation by extracting the zero-ITD signal 'buried' in noise. Additionally, a distance localization is performed by first rotating the microphone array to face toward the sound source and then shifting the microphone perpendicular to the source-robot vector by a predefined distance of a fixed number of steps. The integrated rotational and translational motions of the microphone array provide a complete orientation and distance localization using only the ITD cue. A novel robotic platform using a self-rotational bi-microphone array was also developed for unmanned ground robots performing sound source localization. The proposed technique was first tested in simulation and was then verified on the newly-developed robotic platform. Experimental data collected by the microphones installed on a KEMAR

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Section: Calculation Of Itdmentioning

confidence: 99%

“…Corollary 2 The elevation angle in the system described by Equations (18) and (19) is observable if the following conditions are satisfied: 1) b = 0, 2) ω = 0, and…”

Section: Remarkmentioning

confidence: 99%

Realtime Active Sound Source Localization for Unmanned Ground Robots Using a Self-Rotational Bi-Microphone Array

Gala

Lindsay

Sun

2018

J Intell Robot Syst

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“…High resolution spectral estimation reduces the impact on ambient noise by exploiting the signal subspace and noise subspace properties [20]. In addition, Gala et al applied the technique of combining beamforming with spectral subtraction in the field of speech enhancement to improve the quality of speech in noisy environments [21]. However, beamforming and high-resolution spectral estimation are computationally intensive because of the need to search the position space [22].…”

Section: Introductionmentioning

confidence: 99%

A sound source localization method based on improved second correlation time delay estimation

Liu¹,

Zeng²,

Jian³

et al. 2023

Meas. Sci. Technol.

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Sound source localization system based on microphone array has important applications in audio and video conference, security monitoring and intelligent cockpit. However, the sound source localization method based on time difference of arrival is susceptible to the ambient noise. Therefore, an improved second correlation delay estimation algorithm is proposed in this paper. The pure source signal is obtained by wavelet denoising, and then the time delay is calculated by the second correlation time delay estimation algorithm with the weighting functions of the smoothed coherence transform (SCOT) and the Roth processor (ROTH). The position of sound target is calculated from the time delay. Aiming at the moving target, extended Kalman filter (EKF) is introduced to track the moving trajectory of sound source. The static and moving sound source localization simulations are conducted and the results of the proposed algorithm are compared with those of the single-weighted quadratic correlation (SQC) algorithm and the high-power quadratic correlation (HQC) algorithm. The static sound source positioning errors of the proposed algorithm under -10dB SNR are respectively 3.97m and 5.86m smaller than those of the HQC algorithm and the SQC algorithm. The moving sound source localization trajectory based on the proposed algorithm is still closest to the real track under -10dB SNR. These indicates the proposed algorithm has high precision and strong robustness for sound source location in the low signal-to-noise ratio (SNR) environment. In the experiment, the proposed algorithm can accurately calculate the direction of arrival (DOA) of static sound source and stably track DOA of moving sound source. This is consistent with the simulation results, which further verifies the effectiveness and practicability of the algorithm. This novel algorithm with high time delay estimation accuracy is of great significance for sound source localization in low SNR environment.

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Multi-Sound-Source Localization Using Machine Learning for Small Autonomous Unmanned Vehicles with a Self-Rotating Bi-Microphone Array

Gala

Lindsay

Sun

2021

J Intell Robot Syst

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Speech enhancement combining spectral subtraction and beamforming techniques for microphone array

Cited by 5 publications

References 9 publications

Realtime Active Sound Source Localization for Unmanned Ground Robots Using a Self-Rotational Bi-Microphone Array

Realtime Active Sound Source Localization for Unmanned Ground Robots Using a Self-Rotational Bi-Microphone Array

A sound source localization method based on improved second correlation time delay estimation

Multi-Sound-Source Localization Using Machine Learning for Small Autonomous Unmanned Vehicles with a Self-Rotating Bi-Microphone Array

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