Active Noise Control for Hearing Screening Test

2010 ◽  
Vol 1 (3) ◽  
pp. 67-78
Author(s):  
Dhifaf Azeez ◽  
Mohd Alauddin Mohd Ali ◽  
Hafizah Husain ◽  
Gan Kok Beng ◽  
Cila Umat
Keyword(s):  
Screening Test ◽  
Ambient Noise ◽  
Noise Control ◽  
Sampling Rate ◽  
Active Noise Control ◽  
Hearing Screening ◽  
Labview Software ◽  
Active Noise ◽  
Human Ear ◽  
Acoustic Domain

A hearing screening test is a method to determine human ear disorders and conventional audiometers and audiologists are required to perform the test. However, this procedure is difficult to implement, especially in a remote site such as a factory or a school due to the ambient noise that may cause test inaccuracy. In this work, the application of active noise control (ANC) is proposed to reduce the ambient noise using a personal computer in a hearing screening test. The ANC algorithm was simulated in MATLAB software and implemented using a computer with data acquisition modules and LabVIEW software. Results show that anti-noise was successfully generated in the electrical domain but no reduction was observed in the acoustic domain. ANC is a deterministic application that requires a real-time operating system to respond to the input with precisely timed output. To have an effective ANC system, the processing time has to be less than 0.125 ms at 8 KHz sampling rate.

Active Noise Control for Hearing Screening Test

2012 ◽  
pp. 133-143
Author(s):  
Dhifaf Azeez ◽  
Mohd Alauddin Mohd Ali ◽  
Hafizah Husain ◽  
Gan Kok Beng ◽  
Cila Umat
Keyword(s):  
Screening Test ◽  
Ambient Noise ◽  
Noise Control ◽  
Sampling Rate ◽  
Active Noise Control ◽  
Hearing Screening ◽  
Labview Software ◽  
Active Noise ◽  
Human Ear ◽  
Acoustic Domain

A hearing screening test is a method to determine human ear disorders and conventional audiometers and audiologists are required to perform the test. However, this procedure is difficult to implement, especially in a remote site such as a factory or a school due to the ambient noise that may cause test inaccuracy. In this work, the application of active noise control (ANC) is proposed to reduce the ambient noise using a personal computer in a hearing screening test. The ANC algorithm was simulated in MATLAB software and implemented using a computer with data acquisition modules and LabVIEW software. Results show that anti-noise was successfully generated in the electrical domain but no reduction was observed in the acoustic domain. ANC is a deterministic application that requires a real-time operating system to respond to the input with precisely timed output. To have an effective ANC system, the processing time has to be less than 0.125 ms at 8 KHz sampling rate.

scholarly journals Multirate Audio-Integrated Feedback Active Noise Control Systems Using Decimated-Band Adaptive Filters for Reducing Narrowband Noises

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6693
Author(s):  
Antonius Siswanto ◽  
Cheng-Yuan Chang ◽  
Sen M. Kuo
Keyword(s):  
Computational Complexity ◽  
Real Time ◽  
Adaptive Filters ◽  
Noise Control ◽  
Sampling Rate ◽  
Active Noise Control ◽  
Least Mean Square ◽  
Real Time System ◽  
Active Noise ◽  
Feedback Active Noise Control

Audio-integrated feedback active noise control (AFANC) systems deliver wideband audio signals and cancel low frequency narrowband noises simultaneously. The conventional AFANC system uses single-rate processing with fullband adaptive active noise control (ANC) filter for generating anti-noise signal and fullband audio cancelation filter for audio-interference cancelation. The conventional system requires a high sampling rate for audio processing. Thus, the fullband adaptive filters require long filter lengths, resulting in high computational complexity and impracticality in real-time system. This paper proposes a multirate AFANC system using decimated-band adaptive filters (DAFs) to decrease the required filter lengths. The decimated-band adaptive ANC filter is updated by the proposed decimated filtered-X least mean square (FXLMS) algorithm, and the decimated-band audio cancelation filter can be obtained by the proposed on-line and off-line decimated secondary-path modeling algorithms. The computational complexity can be decreased significantly in the proposed AFANC system with good enough noise reduction and fast convergence speed, which were verified in the analysis and computer simulations. The proposed AFANC system was implemented for an active headrest system, and the real-time performances were tested in real-time experiments.

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