Design and implementation of pipelined SDF FFT architecture for sustainable industrial noise suppression in Digital Hearing Aids

2022 ◽  
Vol 50 ◽  
pp. 101858
Author(s):  
C. Ramesh Kumar ◽  
M.P. Chitra
Keyword(s):  
Hearing Aids ◽  
Noise Suppression ◽  
Digital Hearing Aids ◽  
Industrial Noise ◽  
Design And Implementation

Assessment of the effects of noise suppression in digital hearing aids

2003 ◽  
Vol 1240 ◽  
pp. 333-338
Author(s):  
Somia Tawfik ◽  
Marcel Vlaming ◽  
Iman Sadek ◽  
Nithreen Said ◽  
Lobna Hamed
Keyword(s):  
Hearing Aids ◽  
Noise Suppression ◽  
Digital Hearing Aids

scholarly journals Noise Reduction Using Modified Wiener Filter in Digital Hearing Aid for Speech Signal Enhancement

2019 ◽  
Vol 29 (1) ◽  
pp. 1360-1378
Author(s):  
Madam Aravind Kumar ◽  
Kamsali Manjunatha Chari
Keyword(s):  
Hearing Aids ◽  
Speech Signal ◽  
Communication Systems ◽  
Noise Suppression ◽  
Wiener Filter ◽  
Power Spectra ◽  
Noise Signal ◽  
Communication Process ◽  
Digital Hearing Aids ◽  
Multiplication Operation

Abstract Speech signals are usually affected by noises during the communication process. For suppressing the noise signal that is combined with the speech signal, a Wiener filter is adapted in digital hearing aids. Weiner filter plays an important role in noise suppression and enhancement by estimating the relation between the power spectra of the noise-affected speech signal and the noise signal. Power consumption and the hardware requirement are the important problems in adapting Weiner filter for major communication systems. In this work, we implemented an efficient Wiener filter and applied it for noise suppression along with a real-valued fast Fourier transform (FFT)/real-valued inverse FFT processor in digital hearing aids. The pipelined process was adopted for increasing the performance of the system. The proposed Wiener filter was designed to remove the iteration problems in the conventional Wiener filter. The division operation was replaced by an efficient inverse and multiplication operation in the proposed design. A modified architecture for matrix inversion with low computation complexity was implemented. The complete design computation was based on IEEE-754 standard single-precision floating-point numbers. The Wiener filter and the whole system architecture was implemented and designed on a Field Programmable Gate Array platform and simulated to validate the results in Xilinx ISE tools. An efficient reduction in power and area was obtained by adapting the proposed method for speech signal noise degradation. The performance of the proposed design was found to be 50.01% more efficient than that of existing designs.

Design and Implementation of Low-Power ANSI S1.11 Filter Bank for Digital Hearing Aids

2010 ◽  
Vol 57 (7) ◽  
pp. 1684-1696 ◽  
Author(s):  
Yu-Ting Kuo ◽  
Tay-Jyi Lin ◽  
Yueh-Tai Li ◽  
Chih-Wei Liu
Keyword(s):  
Low Power ◽  
Hearing Aids ◽  
Filter Bank ◽  
Digital Hearing Aids ◽  
Design And Implementation

Performance Improvement of Digital Hearing Aid Systems

2015 ◽  
Vol 1 ◽  
pp. 27
Author(s):  
Isiaka Ajewale Alimi
Keyword(s):  
Noise Reduction ◽  
Hearing Aids ◽  
Digital Signal Processor ◽  
Speech Intelligibility ◽  
Communication Systems ◽  
Hearing Aid ◽  
Spectral Subtraction ◽  
Residual Spectrum ◽  
Digital Hearing Aids ◽  
Digital Hearing Aid

Digital hearing aids addresses the issues of noise and speech intelligibility that is associated with the analogue types. One of the main functions of the digital signal processor (DSP) of digital hearing aid systems is noise reduction which can be achieved by speech enhancement algorithms which in turn improve system performance and flexibility. However, studies have shown that the quality of experience (QoE) with some of the current hearing aids is not up to expectation in a noisy environment due to interfering sound, background noise and reverberation. It is also suggested that noise reduction features of the DSP can be further improved accordingly. Recently, we proposed an adaptive spectral subtraction algorithm to enhance the performance of communication systems and address the issue of associated musical noise generated by the conventional spectral subtraction algorithm. The effectiveness of the algorithm has been confirmed by different objective and subjective evaluations. In this study, an adaptive spectral subtraction algorithm is implemented using the noise-estimation algorithm for highly non-stationary noisy environments instead of the voice activity detection (VAD) employed in our previous work due to its effectiveness. Also, signal to residual spectrum ratio (SR) is implemented in order to control the amplification distortion for speech intelligibility improvement. The results show that the proposed scheme gives comparatively better performance and can be easily employed in digital hearing aid system for improving speech quality and intelligibility.

scholarly journals Design of Area Efficient Filter Bank for Digital Hearing Aids

2020 ◽  
Vol 1716 ◽  
pp. 012049
Author(s):  
Narem Mohith Reddy ◽  
M Suchetha
Keyword(s):  
Hearing Aids ◽  
Filter Bank ◽  
Digital Hearing Aids ◽  
Area Efficient
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