scholarly journals Electroacoustic assessment of wireless remote microphone systems

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Haniyeh Salehi ◽  
Vijay Parsa ◽  
Paula Folkeard
Keyword(s):  
Acoustic Signal ◽  
Background Noise ◽  
Speech Intelligibility ◽  
Computational Models ◽  
Hearing Aid ◽  
The Other ◽  
Clinical Implications ◽  
Significant Interest ◽  
Acoustic Environments ◽  
Acoustic Conditions

Wireless remote microphones (RMs) transmit the desired acoustic signal to the hearing aid (HA) and facilitate enhanced listening in challenging environments. Fitting and verification of RMs, and benchmarking the relative performance of different RM devices in varied acoustic environments are of significant interest to Audiologists and RM developers. This paper investigates the application of instrumental speech intelligibility and quality metrics for characterizing the RM performance in two acoustic environments with varying amounts of background noise and reverberation. In both environments, two head and torso simulators (HATS) were placed 2 m apart, where one HATS served as the talker and the other served as the listener. Four RM systems were interfaced separately with a HA programmed to match the prescriptive targets for the N4 standard audiogram and placed on the listener HATS. The HA output in varied acoustic conditions was recorded and analyzed offline through computational models predicting speech intelligibility and quality. Results showed performance differences among the four RMs in the presence of noise and/or reverberation, with one RM exhibiting significantly better performance. Clinical implications and applications of these results are discussed.

A Clinical Perspective on Cochlear Dead Regions: Intelligibility of Speech and Subjective Hearing Aid Benefit

2005 ◽  
Vol 16 (08) ◽  
pp. 600-613 ◽  
Author(s):  
Jill E. Preminger ◽  
Ryan Carpenter ◽  
Craig H. Ziegler
Keyword(s):  
Background Noise ◽  
Speech Intelligibility ◽  
Pure Tone ◽  
Hearing Aid ◽  
Clinical Population ◽  
Clinical Perspective ◽  
Listening Environments ◽  
Noise Test ◽  
Cochlear Dead Regions ◽  
Hearing Aid Benefit

Using the threshold equalizing noise (TEN) test, 49 subjects with at least two pure-tone thresholds per ear greater than 50 dB HL and none greater than 80 dB HL were evaluated for the presence or absence of dead regions. The purpose of this study was to (1) assess the prevalence of cochlear dead regions in this clinical population, (2) measure whether listeners with dead regions performed differently than listeners without dead regions on a speech intelligibility in noise test, and (3) determine whether cochlear dead regions are associated with reduced subjective hearing aid performance. The results showed that (1) twenty-nine percent of the subjects tested positive for dead regions, (2) listeners with dead regions had poorer sentence understanding in noise than listeners without dead regions and (3) listeners with dead regions perceived poorer subjective hearing aid performance in listening environments with reverberation or background noise as compared to those without dead regions.

Evaluation of an Articulation-Index Based Model for Predicting the Effects of Adaptive Frequency Response Hearing Aids

1990 ◽  
Vol 33 (4) ◽  
pp. 676-689 ◽  
Author(s):  
David A. Fabry ◽  
Dianne J. Van Tasell
Keyword(s):  
Transfer Function ◽  
Frequency Response ◽  
Hearing Aids ◽  
Background Noise ◽  
Speech Intelligibility ◽  
Hearing Aid ◽  
Hearing Impaired ◽  
Articulation Index ◽  
Intelligibility Ratings ◽  
High Pass

The Articulation Index (AI) was used to evaluate an “adaptive frequency response” (AFR) hearing aid with amplification characteristics that automatically change to become more high-pass with increasing levels of background noise. Speech intelligibility ratings of connected discourse by normal-hearing subjects were predicted well by an empirically derived AI transfer function. That transfer function was used to predict aided speech intelligibility ratings by 12 hearing-impaired subjects wearing a master hearing aid with the Argosy Manhattan Circuit enabled (AFR-on) or disabled (AFR-off). For all subjects, the AI predicted no improvements in speech intelligibility for the AFR-on versus AFR-off condition, and no significant improvements in rated intelligibility were observed. The ability of the AI to predict aided speech intelligibility varied across subjects. However, ratings from every hearing-impaired subject were related monotonically to AI. Therefore, AI calculations may be used to predict relative—but not absolute—levels of speech intelligibility produced under different amplification conditions.

The Relationship between the Acceptance of Noise and Acoustic Environments in Young Adults with Normal Hearing: A Pilot Study

2014 ◽  
Vol 25 (06) ◽  
pp. 584-591 ◽  
Author(s):  
Clifford A. Franklin ◽  
Letitia J. White ◽  
Thomas C. Franklin ◽  
Laura Smith-Olinde
Keyword(s):  
Background Noise ◽  
Hearing Aid ◽  
Normal Hearing ◽  
Data Logging ◽  
Directional Microphone ◽  
Hearing Aid Use ◽  
Listening Environments ◽  
Quasi Experimental ◽  
Acoustic Environments ◽  
Different Characteristics

Background: The acceptable noise level (ANL) indicates how much background noise a listener is willing to accept while listening to speech. The clinical impact and application of the ANL measure is as a predictor of hearing-aid use. The ANL may also correlate with the percentage of time spent in different listening environments (i.e., quiet, noisy, noisy with speech present, etc). Information retrieved from data logging could confirm this relationship. Data logging, using sound scene analysis, is a method of monitoring the different characteristics of the listening environments that a hearing-aid user experiences during a period. Purpose: The purpose of this study was to determine if the ANL procedure reflects the proportion of time a person spends in different acoustic environments. Research Design: This was a descriptive quasi-experimental design to collect pilot data in which participants were asked to maintain their regular, daily activities while wearing a data-logging device. Study Sample: After completing the ANL measurement, 29 normal-hearing listeners were provided a data-logging device and were instructed on its proper use. Data Collection/Analysis: ANL measures were obtained along with the percentage of time participants spent in listening environments classified as quiet, speech-in-quiet, speech-in-noise, and noise via a data-logging device. Results: An analysis of variance using a general linear model indicated that listeners with low ANL values spent more time in acoustic environments in which background noise was present than did those with high ANL values; the ANL data did not indicate differences in how much time listeners spent in environments of differing intensities. Conclusions: To some degree, the ANL is reflective of the acoustic environments and the amount of noise that the listener is willing to accept; data logging illustrates the acoustic environments in which the listener was present. Clinical implications include, but are not limited to, decisions in patient care regarding the need for additional counseling and/or the use of digital noise reduction and directional microphone technology.

scholarly journals Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6320
Author(s):  
Piotr Odya ◽  
Jozef Kotus ◽  
Adam Kurowski ◽  
Bozena Kostek
Keyword(s):  
Speech Processing ◽  
Speech Intelligibility ◽  
Acoustic Sensing ◽  
Transmission Index ◽  
Speech Transmission ◽  
Natural Remedies ◽  
Polish Language ◽  
Processing Control ◽  
Acoustic Environments ◽  
Acoustic Conditions

The paper aims to discuss a case study of sensing analytics and technology in acoustics when applied to reverberation conditions. Reverberation is one of the issues that makes speech in indoor spaces challenging to understand. This problem is particularly critical in large spaces with few absorbing or diffusing surfaces. One of the natural remedies to improve speech intelligibility in such conditions may be achieved through speaking slowly. It is possible to use algorithms that reduce the rate of speech (RoS) in real time. Therefore, the study aims to find recommended values of RoS in the context of STI (speech transmission index) in different acoustic environments. In the experiments, speech intelligibility for six impulse responses recorded in spaces with different STIs is investigated using a sentence test (for the Polish language). Fifteen subjects with normal hearing participated in these tests. The results of the analytical analysis enabled us to propose a curve specifying the maximum RoS values translating into understandable speech under given acoustic conditions. This curve can be used in speech processing control technology as well as compressive reverse acoustic sensing.

scholarly journals Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors

2021 ◽  
Vol 42 (03) ◽  
pp. 295-308
Author(s):  
David A. Fabry ◽  
Achintya K. Bhowmik
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Hearing Aids ◽  
Background Noise ◽  
Speech Intelligibility ◽  
Hearing Aid ◽  
Machine Learning Algorithms ◽  
Embedded Sensors ◽  
Health And Wellness ◽  
Speech Understanding

AbstractThis article details ways that machine learning and artificial intelligence technologies are being integrated in modern hearing aids to improve speech understanding in background noise and provide a gateway to overall health and wellness. Discussion focuses on how Starkey incorporates automatic and user-driven optimization of speech intelligibility with onboard hearing aid signal processing and machine learning algorithms, smartphone-based deep neural network processing, and wireless hearing aid accessories. The article will conclude with a review of health and wellness tracking capabilities that are enabled by embedded sensors and artificial intelligence.

Acoustical Comfort in Classrooms: Case Study at the University of Brasília

2018 ◽  
Author(s):  
Clarice C. Daga ◽  
Hetty N. C. C. Lobo ◽  
José A. P. C. Lobo ◽  
Carlos E. L. Melo
Keyword(s):  
Background Noise ◽  
Speech Intelligibility ◽  
Learning Activity ◽  
Sound Perception ◽  
Acoustic Comfort ◽  
Two Parameters ◽  
Teaching Learning ◽  
The University ◽  
Acoustic Conditions

The acoustic conditions in school spaces are fundamental for the success of the learning process. This article aims to present the results of acoustic comfort by the analytical method of 9 classrooms with different geometric characteristics of the University of Brasília. In classrooms the background noise limits are 40 to 50dBA and considering that the teacher’s voice reaches a certain 65 decibels we can highlight that it can be heard clearly by the students. However in an environment with a lot of reverberation of sounds the teacher will have to exert more effort to be understood. The sound perception in a room depends on the intensity and temporal relationship between the direct sound and the indirect sound reflected by the walls of the room, therefore, in the present study were verified two parameters namely the reverberation time and speech intelligibility. The results obtained were compared with the normative parameters of ANSI S12.60: 2010 and it was verified that all rooms are not suitable for teaching-learning activity. To guarantee an environment with better conditions of concentration and learning for the students, acoustic coverings were suggested in order to fit the normative limits.

The Intelligibility of Speech by Hearing Aids on Inductance Loop and Microphone Modes of Signal Reception

1970 ◽  
Vol 13 (1) ◽  
pp. 87-91 ◽  
Author(s):  
Steven W. Vargo ◽  
Glenn Taylor ◽  
J. Curtis Tannahill ◽  
Sally A. Plummer
Keyword(s):  
Data Analysis ◽  
Hearing Aids ◽  
Comparative Evaluation ◽  
Speech Intelligibility ◽  
Hearing Aid ◽  
The Other ◽  
Measure Data ◽  
Criterion Measure ◽  
Inductance Coil ◽  
Intelligible Speech

A comparative evaluation was done on the speech intelligibility of two hearing aids, one with an inductance loop and the other with a conventional body unit. Each aid received and reproduced 50 monosyllables (CID W 22) on both inductance coil and microphone input modes. The resultant 200 words were tape-recorded from the output of a 2cc coupler and then evaluated by 196 students. Words correctly written served as the criterion measure. Data analysis revealed significantly more intelligible speech for the conventional hearing aid for both inductance coil and microphone inputs. Further, the loop hearing aid was significantly less intelligible on its inductance coil setting than on microphone reception.

Spatial Acoustic Scenarios in Multichannel Loudspeaker Systems for Hearing Aid Evaluation

2016 ◽  
Vol 27 (07) ◽  
pp. 557-566 ◽  
Author(s):  
Giso Grimm ◽  
Birger Kollmeier ◽  
Volker Hohmann
Keyword(s):  
Performance Measures ◽  
Speech Intelligibility ◽  
Hearing Aid ◽  
Real Life ◽  
Sound Field ◽  
Speech Quality ◽  
Reference Condition ◽  
Systematic Evaluation ◽  
Technical Performance ◽  
Acoustic Environments

Background: Field tests and guided walks in real environments show that the benefit from hearing aid (HA) signal processing in real-life situations is typically lower than the predicted benefit found in laboratory studies. This suggests that laboratory test outcome measures are poor predictors of real-life HA benefits. However, a systematic evaluation of algorithms in the field is difficult due to the lack of reproducibility and control of the test conditions. Virtual acoustic environments that simulate real-life situations may allow for a systematic and reproducible evaluation of HAs under more realistic conditions, thus providing a better estimate of real-life benefit than established laboratory tests. Purpose: To quantify the difference in HA performance between a laboratory condition and more realistic conditions based on technical performance measures using virtual acoustic environments, and to identify the factors affecting HA performance across the tested environments. Research Design: A set of typical HA beamformer algorithms was evaluated in virtual acoustic environments of different complexity. Performance was assessed based on established technical performance measures, including perceptual model predictions of speech quality and speech intelligibility. Virtual acoustic environments ranged from a simple static reference condition to more realistic complex scenes with dynamically moving sound objects. Results: HA benefit, as predicted by signal-to-noise ratio (SNR) and speech intelligibility measures, differs between the reference condition and more realistic conditions for the tested beamformer algorithms. Other performance measures, such as speech quality or binaural degree of diffusiveness, do not show pronounced differences. However, a decreased speech quality was found in specific conditions. A correlation analysis showed a significant correlation between room acoustic parameters of the sound field and HA performance. The SNR improvement in the reference condition was found to be a poor predictor of HA performance in terms of speech intelligibility improvement in the more realistic conditions. Conclusions: Using several virtual acoustic environments of different complexity, a systematic difference in HA performance between a simple reference condition and more realistic environments was found, which may be related to the discrepancy between laboratory and real-life HA performance reported previously.

Influence of Environmental Factors on Hearing Aid Microphone Preference

2002 ◽  
Vol 13 (06) ◽  
pp. 308-322 ◽  
Author(s):  
Rauna K. Surr ◽  
Brian E. Walden ◽  
Mary T. Cord ◽  
Laurel Olson
Keyword(s):  
Environmental Factors ◽  
Hearing Aids ◽  
Background Noise ◽  
Hearing Aid ◽  
User Preferences ◽  
The Other ◽  
Directional Hearing ◽  
Chi Square ◽  
Digital Hearing Aids ◽  
Better Than

The purpose of this study was to identify characteristics of everyday listening situations that influence user preferences for omnidirectional versus directional hearing aid microphones. Eleven experienced hearing aid users were fitted with digital hearing aids featuring switchable omnidirectional (OMNI) and adaptive-directional (DIR) modes (programs). For 6 weeks, their task was to identify and describe at least one listening situation each day in which one program performed better than the other using a checklist daily journal format. All participants reported difficulty identifying situations in which they could perceive a difference between the two microphone modes. Although an equal number had been requested, descriptions favoring the DIR outnumbered those for the OMNI. Chi-square tests were used to compare the distributions of 60 descriptions favoring the OMNI and 155 favoring the DIR across variables associated with the primary talker to whom the hearing aid user was listening, background noise, and other environmental characteristics. The results indicated that location of the primary talker, presence or absence and type of background noise, and type of space in which the communication occurred influenced microphone choice.

Use of a Mild-Gain Hearing Aid by Middle-Age Normal-Hearing Adults Who Do and Do Not Self-Report Trouble Hearing in Background Noise

2020 ◽  
Vol 29 (3) ◽  
pp. 419-428
Author(s):  
Jasleen Singh ◽  
Karen A. Doherty
Keyword(s):  
Hearing Aids ◽  
Background Noise ◽  
Middle Age ◽  
Hearing Aid ◽  
Normal Hearing ◽  
Self Report ◽  
Hearing Aid Use ◽  
Hearing Handicap ◽  
Before And After ◽  
Hearing Problems

Purpose The aim of the study was to assess how the use of a mild-gain hearing aid can affect hearing handicap, motivation, and attitudes toward hearing aids for middle-age, normal-hearing adults who do and do not self-report trouble hearing in background noise. Method A total of 20 participants (45–60 years of age) with clinically normal-hearing thresholds (< 25 dB HL) were enrolled in this study. Ten self-reported difficulty hearing in background noise, and 10 did not self-report difficulty hearing in background noise. All participants were fit with mild-gain hearing aids, bilaterally, and were asked to wear them for 2 weeks. Hearing handicap, attitudes toward hearing aids and hearing loss, and motivation to address hearing problems were evaluated before and after participants wore the hearing aids. Participants were also asked if they would consider purchasing a hearing aid before and after 2 weeks of hearing aid use. Results After wearing the hearing aids for 2 weeks, hearing handicap scores decreased for the participants who self-reported difficulty hearing in background noise. No changes in hearing handicap scores were observed for the participants who did not self-report trouble hearing in background noise. The participants who self-reported difficulty hearing in background noise also reported greater personal distress from their hearing problems, were more motivated to address their hearing problems, and had higher levels of hearing handicap compared to the participants who did not self-report trouble hearing in background noise. Only 20% (2/10) of the participants who self-reported trouble hearing in background noise reported that they would consider purchasing a hearing aid after 2 weeks of hearing aid use. Conclusions The use of mild-gain hearing aids has the potential to reduce hearing handicap for normal-hearing, middle-age adults who self-report difficulty hearing in background noise. However, this may not be the most appropriate treatment option for their current hearing problems given that only 20% of these participants would consider purchasing a hearing aid after wearing hearing aids for 2 weeks.

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