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.

Prescription of binaural hearing aids in the United Kingdom: a knowledge, attitude and practice (KAP) study

2002 ◽  
Vol 116 (S28) ◽  
pp. 2-6 ◽  
Author(s):  
Sunil N. Dutt ◽  
Ann-Louise McDermott ◽  
Richard M. Irving ◽  
Ivor Donaldson ◽  
Ahmes L. Pahor ◽  
...  
Keyword(s):  
United Kingdom ◽  
Hearing Aids ◽  
Otitis Media With Effusion ◽  
Hearing Aid ◽  
Binaural Hearing ◽  
Unilateral Deafness ◽  
Attitudes And Practices ◽  
The United Kingdom ◽  
Paediatric Age ◽  
Tinnitus Masking

The purpose of this questionnaire study was to evaluate the existing knowledge of binaural hearing and the attitudes and practices of prescribing bilateral hearing aids amongst otolaryngologists in the United Kingdom. Of the 950 questionnaires sent to the current members of the British Association of Otolaryngologists and Head and Neck Surgeons (BAO-HNS), there were 591 respondents (62 per cent). The true response rate with completed questionnaires was 59 per cent. Eighty-one per cent of the respondents were aware of the importance of binaural hearing and had a positive attitude towards binaural fitting. The practice of bilateral hearing aid prescriptions was found to be poor amongst all grades on the NHS (less than 10 per cent of all hearing aid prescriptions). This practice in the private sector was variable, dependent largely on patient preference and affordability. The practice of binaural prescription was higher for patients in the paediatric age group than amongst adults. Two common indications for hearing aid prescriptions for unilateral deafness were otitis media with effusion in children (23 per cent of respondents) and for tinnitus masking in adults (12 per cent of respondents). Many otolaryngologists believed that there was not enough evidence to support bilateral bone-anchored hearing aid implantation and bilateral cochlear implantation. Ninety-four per cent of the respondents believed that binaural hearing was as important as binocular vision.

scholarly journals Frequency Controlled Noise Cancellation for Audio and Hearing Purposes

2020 ◽  
Vol 8 (1) ◽  
pp. 270-290
Author(s):  
Ali O. Abid Noor
Keyword(s):  
Time Delay ◽  
Power Consumption ◽  
Hearing Aids ◽  
High Speed ◽  
Hearing Aid ◽  
External Noise ◽  
Noise Cancellation ◽  
Audio Signals ◽  
Real Time Processing ◽  
Full Band

Methods for hearing aids sought to compensate for loss in hearing by amplifying signals of interest in the audio band. In real-world, audio signals are prone to outdoor noise which can be destructive for hearing aid.  Eliminating interfering noise at high speed and low power consumption became a target for recent researches. Modern hearing compensation technologies use digital signal processing which requires minimum implementation costs to reduce power consumption, as well as avoiding delay in real time processing. In this paper, frequency controlled noise cancellation (FCNC) strategy for hearing aid and audio communication is developed with low complexity and least time delay. The contribution of the current work is made by offering a method that is capable of removing inherent distortion due filter-bank insertion and assigning adaptive filtering to a particular sub-band to remove external noise. The performance of the proposed FCNC was examined under frequency-limited noise, which corrupts particular parts of the audio spectrum. Results showed that the FCNC renders noise-immune audio signals with minimal number of computations and least delay. Mean square error (MSE) plots of the proposed FCNC method reached below -30 dB compared to -25 dB using conventional sub-band method and to -10 dB using standard full-band noise canceller. The proposed FCNC approach gave the lowest number of computations compared to other methods with a total of 346 computations per sample compared to 860 and 512 by conventional sub-band and full-band methods respectively. The time delay using FCNC is the least compared to the other methods.

The Effects of Changes in Head Angle on Auditory and Visual Input for Omnidirectional and Directional Microphone Hearing Aids

2003 ◽  
Vol 12 (1) ◽  
pp. 41-51 ◽  
Author(s):  
Paula Henry ◽  
Todd Ricketts
Keyword(s):  
Hearing Loss ◽  
Speech Recognition ◽  
Hearing Aids ◽  
Visual Cues ◽  
Signal To Noise Ratio ◽  
Hearing Aid ◽  
Recognition Performance ◽  
Binaural Hearing ◽  
Increase Signal Intensity ◽  
Visual Mode

Improving the signal-to-noise ratio (SNR) for individuals with hearing loss who are listening to speech in noise provides an obvious benefit. Although binaural hearing provides the greatest advantage over monaural hearing in noise, some individuals with symmetrical hearing loss choose to wear only one hearing aid. The present study tested the hypothesis that individuals with symmetrical hearing loss fit with one hearing aid would demonstrate improved speech recognition in background noise with increases in head turn. Fourteen individuals were fit monaurally with a Starkey Gemini in-the-ear (ITE) hearing aid with directional and omnidirectional microphone modes. Speech recognition performance in noise was tested using the audiovisual version of the Connected Speech Test (CST v.3). The test was administered in auditory-only conditions as well as with the addition of visual cues for each of three head angles: 0°, 20°, and 40°. Results indicated improvement in speech recognition performance with changes in head angle for the auditory-only presentation mode at the 20° and 40° head angles when compared to 0°. Improvement in speech recognition performance for the auditory + visual mode was noted for the 20° head angle when compared to 0°. Additionally, a decrement in speech recognition performance for the auditory + visual mode was noted for the 40° head angle when compared to 0°. These results support a speech recognition advantage for listeners fit with one ITE hearing aid listening in a close listener-to-speaker distance when they turn their head slightly in order to increase signal intensity.

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.

Are Two Ears Not Better Than One?

2012 ◽  
Vol 23 (03) ◽  
pp. 171-181 ◽  
Author(s):  
Rachel A. McArdle ◽  
Mead Killion ◽  
Monica A. Mennite ◽  
Theresa H. Chisolm
Keyword(s):  
Hearing Loss ◽  
Speech Recognition ◽  
Hearing Aids ◽  
Repeated Measures ◽  
Signal To Noise Ratio ◽  
Hearing Aid ◽  
Binaural Hearing ◽  
Analysis Experiment ◽  
Insert Earphones ◽  
Speech Recognition In Noise

Background: The decision to fit one or two hearing aids in individuals with binaural hearing loss has been debated for years. Although some 78% of U.S. hearing aid fittings are binaural (Kochkin , 2010), Walden and Walden (2005) presented data showing that 82% (23 of 28 patients) of their sample obtained significantly better speech recognition in noise scores when wearing one hearing aid as opposed to two. Purpose: To conduct two new experiments to fuel the monaural/binaural debate. The first experiment was a replication of Walden and Walden (2005), whereas the second experiment examined the use of binaural cues to improve speech recognition in noise. Research Design: A repeated measures experimental design. Study Sample: Twenty veterans (aged 59–85 yr), with mild to moderately severe binaurally symmetrical hearing loss who wore binaural hearing aids were recruited from the Audiology Department at the Bay Pines VA Healthcare System. Data Collection and Analysis: Experiment 1 followed the procedures of the Walden and Walden study, where signal-to-noise ratio (SNR) loss was measured using the Quick Speech-in-Noise (QuickSIN) test on participants who were aided with their current hearing aids. Signal and noise were presented in the sound booth at 0° azimuth under five test conditions: (1) right ear aided, (2) left ear aided, (3) both ears aided, (4) right ear aided, left ear plugged, and (5) unaided. The opposite ear in (1) and (2) was left open. In Experiment 2, binaural Knowles Electronics Manikin for Acoustic Research (KEMAR) manikin recordings made in Lou Malnati's pizza restaurant during a busy period provided a typical real-world noise, while prerecorded target sentences were presented through a small loudspeaker located in front of the KEMAR manikin. Subjects listened to the resulting binaural recordings through insert earphones under the following four conditions: (1) binaural, (2) diotic, (3) monaural left, and (4) monaural right. Results: Results of repeated measures ANOVAs demonstrated that the best speech recognition in noise performance was obtained by most participants with both ears aided in Experiment 1 and in the binaural condition in Experiment 2. Conclusions: In both experiments, only 20% of our subjects did better in noise with a single ear, roughly similar to the earlier Jerger et al (1993) finding that 8–10% of elderly hearing aid users preferred one hearing aid.

An improvement in hearing sensitivity following hearing-aid fitting in a child with an apparent sensorineural hearing impairment

1996 ◽  
Vol 110 (4) ◽  
pp. 362-365
Author(s):  
K. J. Munro ◽  
D. Cafarelli Dees
Keyword(s):  
Hearing Aids ◽  
Hearing Aid ◽  
Binaural Hearing ◽  
Test Results ◽  
Listening Skills ◽  
Subjective Test ◽  
Hearing Sensitivity ◽  
Hearing Aid Use ◽  
Sensorineural Hearing Impairment ◽  
Fitting In

AbstractThis case describes an apparent improvement in hearing sensitivity in a young girl over a period of 12 months, after she was fitted with binaural hearing-aids. Discrepancies between objective and subjective test results are highlighted. Even if the underlying reason for the conflicting test results was due to poor listening skills or test error, this child behaved like a hearing-impaired child and her performance improved after hearing-aid use. The case also illustrates the application of earphone testing from six months of age. The importance of closely monitoring all children who are fitted with hearing-aids is highlighted.

scholarly journals A Smart Binaural Hearing Aid Architecture Leveraging a Smartphone APP With Deep-Learning Speech Enhancement

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 56798-56810
Author(s):  
Yingdan Li ◽  
Fei Chen ◽  
Zhuoyi Sun ◽  
Junyu Ji ◽  
Wen Jia ◽  
...  
Keyword(s):  
Deep Learning ◽  
Speech Enhancement ◽  
Hearing Aid ◽  
Binaural Hearing ◽  
Smartphone App ◽  
Aid Architecture
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