Corrigendum to “GA Based Optimization of Second Order ΣΔ Modulator for Digital Hearing Aid Applications”

Based Second Order ∑Δ Modulator for Digital Hearing Aid Applications

Procedia Computer Science ◽

10.1016/j.procs.2015.10.088 ◽

2015 ◽

Vol 70 ◽

pp. 274-281 ◽

Cited By ~ 1

Author(s):

Rijo Sebastian ◽

Babita R. Jose ◽

Shahana T.K. ◽

Jimson Mathew

Keyword(s):

Hearing Aid ◽

Second Order ◽

Digital Hearing Aid

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A Low-Power Second-Order Two-Channel Time-Interleaved ΣΔ Modulator for Broadband Applications

IEICE Transactions on Electronics ◽

10.1587/transele.e92.c.852 ◽

2009 ◽

Vol E92-C (6) ◽

pp. 852-859 ◽

Cited By ~ 1

Author(s):

Xiao YANG ◽

Hong ZHANG ◽

Guican CHEN

Keyword(s):

Low Power ◽

Second Order ◽

Σδ Modulator ◽

Time Interleaved

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Performance Improvement of Digital Hearing Aid Systems

Journal of Communications Technology Electronics and Computer Science ◽

10.22385/jctecs.v1i0.15 ◽

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.

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