scholarly journals Speech Enhancement in Hearing Aids Using Conjugate Symmetry of DFT and SNR-Perception Models

2010 ◽  
Vol 1 (21) ◽  
pp. 43-51
Author(s):  
Dr. (Smt). S.D. Apte ◽  
Mr. Shridhar
Keyword(s):  
Speech Enhancement ◽  
Hearing Aids ◽  
Conjugate Symmetry

scholarly journals A Smart Binaural Hearing Aid Architecture Based on a Mobile Computing Platform

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 811
Author(s):  
Yingdan Li ◽  
Fei Chen ◽  
Zhuoyi Sun ◽  
Zhaoyang Weng ◽  
Xian Tang ◽  
...  
Keyword(s):  
Power Consumption ◽  
Mobile Computing ◽  
User Experience ◽  
Speech Enhancement ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Binaural Hearing ◽  
The Body ◽  
Processing Unit ◽  
Computing Platform

This paper presents a new structure for hearing aids. Normally, the power consumption and user experience are contradictory. The proposed hearing aid structure mainly consists of three parts: the earpieces, the mobile computing platform, and the real-time speech-enhancement application. It can run complex algorithms without carrying out heavy calculations on the processors in the hearing aid. Thus, the binaural algorithm is utilized without being limited by complexity and power consumption to improve the user experience. Moreover, the speech-enhancement algorithm can be updated much more easily than in traditional built-in digital signal process hearing aids. A good level of user experience is achieved by combining the hearing aid and mobile computing platform with a 400-MHz transceiver; furthermore, the 400-MHz transceiver can reduce path loss around the body. The concept verification process showed that the overall usage of the central processing unit in the smartphone is around 16%, the signal-to-noise ratios show at least a 30% improvement in some environments, and the whole system delay is 8.8 ms. The presented objective and subjective results show significant improvements regarding user experience and usability brought about by the proposed structure.

A two‐stage binaural speech enhancement approach for hearing aids with preserving binaural benefits in noisy environments

2008 ◽  
Vol 123 (5) ◽  
pp. 3012-3012 ◽  
Author(s):  
Junfeng Li ◽  
Shuichi Sakamoto ◽  
Satoshi Hongo ◽  
Masato Akagi ◽  
Yôiti Suzuki
Keyword(s):  
Speech Enhancement ◽  
Hearing Aids ◽  
Noisy Environments ◽  
Two Stage

scholarly journals Speech Enhancement for Hearing Aids with Deep Learning on Environmental Noises

2020 ◽  
Vol 10 (17) ◽  
pp. 6077
Author(s):  
Gyuseok Park ◽  
Woohyeong Cho ◽  
Kyu-Sung Kim ◽  
Sangmin Lee
Keyword(s):  
Neural Networks ◽  
Noise Reduction ◽  
Speech Enhancement ◽  
Hearing Aids ◽  
Deep Neural Networks ◽  
Hearing Aid ◽  
Environmental Noise ◽  
Speech Quality ◽  
Impaired Hearing ◽  
Noise Classification

Hearing aids are small electronic devices designed to improve hearing for persons with impaired hearing, using sophisticated audio signal processing algorithms and technologies. In general, the speech enhancement algorithms in hearing aids remove the environmental noise and enhance speech while still giving consideration to hearing characteristics and the environmental surroundings. In this study, a speech enhancement algorithm was proposed to improve speech quality in a hearing aid environment by applying noise reduction algorithms with deep neural network learning based on noise classification. In order to evaluate the speech enhancement in an actual hearing aid environment, ten types of noise were self-recorded and classified using convolutional neural networks. In addition, noise reduction for speech enhancement in the hearing aid were applied by deep neural networks based on the noise classification. As a result, the speech quality based on the speech enhancements removed using the deep neural networks—and associated environmental noise classification—exhibited a significant improvement over that of the conventional hearing aid algorithm. The improved speech quality was also evaluated by objective measure through the perceptual evaluation of speech quality score, the short-time objective intelligibility score, the overall quality composite measure, and the log likelihood ratio score.

Speech Enhancement in Digital Hearing Aids

1990 ◽  
Vol 11 (01) ◽  
pp. 68-78 ◽  
Author(s):  
Malcolm Williamson ◽  
Jerry Punch
Keyword(s):  
Speech Enhancement ◽  
Hearing Aids ◽  
Digital Hearing Aids

scholarly journals Dual-Channel Speech Enhancement Based on Speech Presence Probability

2020 ◽  
Vol 9 (3) ◽  
pp. 2198-2200
Keyword(s):  
Noise Reduction ◽  
Speech Enhancement ◽  
Hearing Aids ◽  
Speech Processing ◽  
Speech Signal ◽  
Reduction Process ◽  
Coherent Noise ◽  
Residual Noise ◽  
Speech Distortion ◽  
Reduction Methods

This paper introduces technology to improve sound quality, which serves the needs of media and entertainment. Major challenging problem in the speech processing applications like mobile phones, hands-free phones, car communication, teleconference systems, hearing aids, voice coders, automatic speech recognition and forensics etc., is to eliminate the background noise. Speech enhancement algorithms are widely used for these applications in order to remove the noise from degraded speech in the noisy environment. Hence, the conventional noise reduction methods introduce more residual noise and speech distortion. So, it has been found that the noise reduction process is more effective to improve the speech quality but it affects the intelligibility of the clean speech signal. In this paper, we introduce a new model of coherence-based noise reduction method for the complex noise environment in which a target speech coexists with a coherent noise around. From the coherence model, the information of speech presence probability is added to better track noise variation accurately; and during the speech presence and speech absent period, adaptive coherence-based method is adjusted. The performance of suggested method is evaluated in condition of diffuse and real street noise, and it improves the speech signal quality less speech distortion and residual noise.

A new speech enhancement method for two‐input two‐output hearing aids

2006 ◽  
Vol 120 (5) ◽  
pp. 3157-3157 ◽  
Author(s):  
Junfeng Li ◽  
Shuichi Sakamoto ◽  
Yo‐iti Suzuki ◽  
Satoshi Hongo
Keyword(s):  
Speech Enhancement ◽  
Hearing Aids ◽  
Enhancement Method
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