The Effect of Speech Presentation Level on Acceptance of Background Noise in Listeners with Normal Hearing

2006 ◽  
Vol 17 (02) ◽  
pp. 141-146 ◽  
Author(s):  
Clifford A. Franklin ◽  
James W. Thelin ◽  
Anna K. Nabelek ◽  
Samuel B. Burchfield
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Normal Hearing ◽  
Presentation Level ◽  
Background Noise Level ◽  
Acceptable Noise Level ◽  
The Mean ◽  
The Difference ◽  
Speech Presentation

A method has been established to measure the maximum acceptable background noise level (BNL) for a listener, while listening to speech at the most comfortable listening level (MCL). The acceptable noise level (ANL) is the difference between BNL and MCL. In the present study, the ANL procedure was used to measure acceptance of noise, first, in the presence of speech at MCL and, then, for speech presented at much lower and higher levels in listeners with normal hearing. This study used the term ANL to describe the results obtained at MCL and also at other speech presentation levels. The mean ANL at MCL was 15.5 dB, which is comparable to results obtained by previous investigators. ANL increases systematically with speech presentation level. Mean ANLs ranged from 10.6 dB when speech was presented at 20 dB HL to 24.6 dB when speech was presented at 76 dB HL. The results indicated that the acceptance of noise depends significantly on speech presentation level.

scholarly journals Acceptable noise levels in Arabic-Persian bilinguals

2019 ◽  
Author(s):  
Fateme Taheri ◽  
Ahmad Geshani ◽  
Jamileh Fatahi ◽  
Shohreh Jalaie ◽  
Mojtaba Tavakoli
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Normal Hearing ◽  
Test Results ◽  
Medical Sciences ◽  
Persian Version ◽  
Background Noise Level ◽  
Acceptable Noise Level ◽  
The Difference ◽  
E Mail

Background and Aim: Acceptable noise level (ANL) test is a reliable measure of people’s abi­lity to tolerate background noise. Central ner­vous system is one of the determinant factors in subject’s tolerance of noise. Bilinguals’ diffe­rent central activity pattern may yield different ANL test results from monolinguals. This study aims to compare noise tolerance function in Arabic-Persian bilinguals with Persian monolin­guals via Persian version of ANL. Methods: In the present study, the Persian ver­sion of ANL was administered on 115 cases with normal hearing (56 male, 59 female) aged 18–37 years in three groups of the Persian mon­olingual, sequential Arabic-Persian bilinguals, and simultaneous Arabic-Persian bilinguals. Results: The statistical analysis revealed sig­nificant difference in most comfortable level (p = 0.002) and background noise level (p = 0.011) among three groups, i.e. between Persian monolinguals and sequential Arabic-Persian bil­inguals and between Persian monolinguals and simultaneous Arabic-Persian bilinguals. In other words, mean scores of bilingual were higher than monolingual scores. There was no signifi­cant difference among three groups with regard to ANL scores (p = 0.114). * Corresponding author: Department of Audiology, School of Rehabilitation, Tehran University of Medical Sciences, Piche-Shemiran, Enghelab Ave., Tehran, 1148965141, Iran. Tel: 009821-77530636, E-mail: [email protected] Conclusion: Despite the difference between Persian monolinguals and Arabic-Persian bilin­guals in most comfortable level and background noise level, there is no significance difference in ANL results. Therefore, auditory central proce­ssing acts similarly in normal hearing monolin­gual and bilingual subjects. As a result, Persian version of ANL can be used for Arabic-Persian bilinguals, too.

The Influence of Listener's Gender on the Acceptance of Background Noise

2003 ◽  
Vol 14 (07) ◽  
pp. 372-382 ◽  
Author(s):  
Deanna S. Rogers ◽  
Ashley W. Harkrider ◽  
Samuel B. Burchfield ◽  
Anna K. Nabelek
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Sound Field ◽  
Normal Hearing ◽  
Hearing Sensitivity ◽  
Hearing Status ◽  
Acceptable Noise Level ◽  
Listening Levels ◽  
Males And Females ◽  
The Difference

The acceptance of background noise can be assessed by having participants select the maximum background noise level (BNL) to which they are willing to listen while following speech at their most comfortable listening level (MCL). The difference between the selected BNL and MCL is the acceptable noise level (ANL). Preliminary investigations have revealed large between-participant ANL differences that are not related to age, hearing status, preference for background noise, or uncomfortable listening level. This study investigated listener's gender as a possible factor contributing to these between-participant differences. Comfortable listening levels for speech and accepted levels of speech-babble background noise were obtained binaurally, via the sound field, from 50 (25 male, 25 female) young, acoustically naive adults with normal hearing sensitivity. Results indicate that, although males had higher comfortable listening levels and accepted higher levels of background noise than females, ANL values were not different between males and females.

Modeling Speech Level as a Function of Background Noise Level and Talker-to-Listener Distance for Talkers Wearing Hearing Protection Devices

2017 ◽  
Vol 60 (12) ◽  
pp. 3393-3403 ◽  
Author(s):  
Rachel E. Bouserhal ◽  
Annelies Bockstael ◽  
Ewen MacDonald ◽  
Tiago H. Falk ◽  
Jérémie Voix
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Speech Sound ◽  
Sound Level ◽  
Hearing Protection ◽  
Background Noise Level ◽  
Vocal Effort ◽  
Protection Devices ◽  
The Difference ◽  
The Relationship

Purpose Studying the variations in speech levels with changing background noise level and talker-to-listener distance for talkers wearing hearing protection devices (HPDs) can aid in understanding communication in background noise. Method Speech was recorded using an intra-aural HPD from 12 different talkers at 5 different distances in 3 different noise conditions and 2 quiet conditions. Results This article proposes models that can predict the difference in speech level as a function of background noise level and talker-to-listener distance for occluded talkers. The proposed model complements the existing model presented by Pelegrín-García, Smits, Brunskog, and Jeong (2011) and expands on it by taking into account the effects of occlusion and background noise level on changes in speech sound level. Conclusions Three models of the relationship between vocal effort, background noise level, and talker-to-listener distance for talkers wearing HPDs are presented. The model with the best prediction intervals is a talker-dependent model that requires the users' unoccluded speech level at 10 m as a reference. A model describing the relationship between speech level, talker-to-listener distance, and background noise level for occluded talkers could eventually be incorporated with radio protocols to transmit verbal communication only to an intended set of listeners within a given spatial range—this range being dependent on the changes in speech level and background noise level.

Most Comfortable Listening Levels, Background Noise Levels, and Acceptable Noise Levels for Children and Adults with Normal Hearing

2011 ◽  
Vol 22 (05) ◽  
pp. 286-293 ◽  
Author(s):  
Robert Moore ◽  
Susan Gordon-Hickey ◽  
Alisha Jones
Keyword(s):  
Young Adults ◽  
Noise Level ◽  
Background Noise ◽  
Developmental Change ◽  
Pediatric Population ◽  
Strong Predictor ◽  
Normal Hearing ◽  
Noise Levels ◽  
Cross Sectional ◽  
The Difference

Background: For adults the acceptable noise level (ANL) has been shown to be a strong predictor of hearing aid success. ANL is calculated as the difference between most comfortable listening level (MCL) and background noise level (BNL). No studies have made direct comparisons of these measures between adults and children. Purpose: To evaluate and compare MCLs, BNLs, and ANLs in children and young adults. Research Design: A cross-sectional design was used in this study. Two groups (children and adults) were tested for each dependent variable. MCLs and BNLs were measured for each participant, and ANLs were computed from these two measurements. Study Sample: The participants were 34 children (8–10 yr) and 34 young adults (19–29 yr) with normal hearing. Results: Significant main effects were found for MCLs and BNLs. There was no main effect for ANLs. MCLs and BNLs were significantly lower for the children than for the adults. Conclusions: These results suggest that while ANLs are unchanged from childhood to adulthood, there appears to be a developmental change in MCLs and BNLs. These findings have implications for the use of ANLs in the pediatric population.

scholarly journals Acceptable Noise Level Stability Over a One-Year Period of Time

2020 ◽  
Vol 31 (05) ◽  
pp. 336-341
Author(s):  
Melinda F. Bryan ◽  
Susan Gordon-Hickey ◽  
Ashton L. Hay ◽  
Shelby T. Davis
Keyword(s):  
Noise Level ◽  
Repeated Measures ◽  
Background Noise ◽  
Normal Hearing ◽  
Auditory Nervous System ◽  
Time Period ◽  
Acceptable Noise Level ◽  
Listening Levels ◽  
One Year ◽  
The Stability

Abstract Background The acceptable noise level (ANL) is a measure of willingness to listen to speech in the presence of background noise and is thought to be related to success with amplification. To date, ANLs have only been assessed over short periods of time, including within a session and over a 3-week and 3-month time period. ANL stability over longer periods of time has not been assessed. Purpose The purpose was to examine the stability of ANL over a 1-year time period. Research Design A repeated-measures, longitudinal study was completed. Study Sample Thirty young adults with normal hearing served as participants. The participants were tested at two different sites. Data Collection and Analysis Two trials of most comfortable listening levels (MCLs), background noise levels (BNLs), and ANLs were assessed for each participant during three experimental sessions: at 0 months, 6 months, and 1 year. Results Two-way repeated-measures analysis of variances revealed no significant change in MCLs, BNLs, or ANLs within a session or over a 1-year time period. These results indicate that ANLs remain stable for 1 year in listeners with normal hearing. Conclusions The finding that the ANL is stable over a longer period of time supports the theory that the ANL is an inherent trait of the listener and mediated at in the central auditory nervous system.

Acceptable Noise Levels in Preschool Children with Normal Hearing

2013 ◽  
Vol 24 (09) ◽  
pp. 823-831 ◽  
Author(s):  
Melinda Freyaldenhoven Bryan ◽  
Clifford Franklin ◽  
Krystal Sullivan Ware ◽  
Rachel Horne
Keyword(s):  
Preschool Children ◽  
Noise Level ◽  
Background Noise ◽  
Normal Hearing ◽  
Good Test ◽  
Speech Stimuli ◽  
School Aged Children ◽  
Hearing Aid Use ◽  
Acceptable Noise Level ◽  
Test Retest Reliability

Background: The acceptable noise level (ANL) measure is an indicator of hearing aid use. The majority of research in this area has focused primarily on adults. Research using school-aged listeners, specifically 8 and 12 yr old children, demonstrated that the average ANL values, standard deviations (SDs), and distribution of ANL values for these children were similar to those of adult listeners. Additionally, the ANL measure is reliable over time, even in school-aged listeners. Although ANL values from adult and school-aged listeners have been investigated, no research to date has been conducted using preschool children. Purpose: The purpose of the present study was to determine if ANLs could be obtained in preschool children, aged 4 and 5 yr, with normal hearing. This study also aimed to investigate the reliability and distribution of ANL measurements from preschool children, as well as any effect that background noise might present in the listening environment. Research Design: Seated in a sound-treated test suite, listeners were tasked with adjusting speech stimuli to their most comfortable listening level; then, with speech present, listeners were tasked with adjusting the background noise to their most acceptable background noise level. Three trials of each measure were averaged and were used to calculate each listener's ANL. Study Sample: ANLs were attempted on 23 children, ages 4 yr (N = 14) to 5 yr (N = 9), with normal hearing. Results: Less than half of the 4 yr old listeners performed the ANL task, whereas all of the 5 yr old listeners completed the task successfully. Good test-retest reliability was found for those preschool children who were able to complete the task. Mean ANLs, SDs, ranges, and distributions demonstrated that these values agree with ANL data collected from older school-aged listeners. Conclusions: Although ANL values were reliably measured in all of the 5 yr old listeners, this was not the case for 4 yr old listeners. ANL values were not reliably obtained from 4 yr old listeners; however, the ANL procedure is appropriate for use for 5 yr old listeners. Furthermore, ANL means, SDs, ranges, and distributions were in agreement with those from older school-aged children and adults, and ANLs in preschool listeners were unaffected by the type of background noise stimuli.

Influence of Music and Music Preference on Acceptable Noise Levels in Listeners with Normal Hearing

2007 ◽  
Vol 18 (05) ◽  
pp. 417-427 ◽  
Author(s):  
Susan Gordon-Hickey ◽  
Robert E. Moore
Keyword(s):  
Noise Level ◽  
Background Noise ◽  
Maximum Level ◽  
Normal Hearing ◽  
Music Preference ◽  
Noise Levels ◽  
Acceptable Noise Level ◽  
Acceptable Noise Levels ◽  
Better Than

Acceptable noise level (ANL) is defined as the maximum level of background noise that an individual is willing to accept while listening to speech. The type of background noise does not affect ANL results with the possible exception of music. The purpose of this study was to determine if ANL for music was different from ANL for twelve-talker babble and investigate if there was a correlation between ANL for music samples and preference for those music samples. Results demonstrated that ANL for music tended to be better than ANL for twelve-talker babble, indicating listeners were more willing to accept music as a background noise than speech babble. The results further demonstrated that ANL for the music samples were not correlated with preference for the music samples, indicating that ANL for music was not related to music preference. Therefore, music appeared to be processed differently as a background noise than twelve-talker babble. Un nivel aceptable de ruido (ANL) esta definido como el máximo nivel de ruido de fondo que un individuo esta dispuesto a aceptar mientras escucha el lenguaje. El tipo de ruido de fondo no afecta el ANL, con la posible excepción de la música (Nabelek y col., 1991). El propósito de este estudio fue determinar si el ANL para la música era diferente del ANL ante un balbuceo de doce hablantes, e investigar si existía una correlación entre los ANL para muestras de música, y para la preferencia con respecto a estas muestras de música. Los resultados demostraron que el ANL para la música tendió a ser mejor que el ANL para el balbuceo de doce hablantes, indicando que los sujetos estaban más dispuestos a aceptar la música como ruido de fondo que el lenguaje en balbuceo. Los resultados además demostraron que el ANL para las muestras de música no correlacionaba con la preferencia para las muestras de música, indicando que los ANL para la música no tenía que ver con la preferencia musical. Por lo tanto, la música parece procesarse diferente como ruido de fondo que el balbuceo de doce hablantes.

Prediction of Threshold Sand Rates from Acoustic Monitors Using Artificial Intelligence

2021 ◽  
Author(s):  
Ronald E. Vieira ◽  
Bohan Xu ◽  
Asad Nadeem ◽  
Ahmed Nadeem ◽  
Siamack A. Shirazi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Noise Level ◽  
Background Noise ◽  
Pipe Wall ◽  
Flow Patterns ◽  
Operating Conditions ◽  
Flow Conditions ◽  
Background Noise Level ◽  
Input Parameters

Abstract Solids production from oil and gas wells can cause excessive damage resulting in safety hazards and expensive repairs. To prevent the problems associated with sand influx, ultrasonic devices can be used to provide a warning when sand is being produced in pipelines. One of the most used methods for sand detection is utilizing commercially available acoustic sand monitors that clamp to the outside of pipe wall and measures the acoustic energy generated by sand grain impacts on the inner side of a pipe wall. Although the transducer used by acoustic monitors is especially sensitive to acoustic emissions due to particle impact, it also reacts to flow induced noise as well (background noise). The acoustic monitor output does not exceed the background noise level until a sufficient sand rate is entrained in the flow that causes a signal output that is higher than the background noise level. This sand rate is referred to as the threshold sand rate or TSR. A significant amount of data has been compiled over the years for TSR at the Tulsa University Sand Management Projects (TUSMP) for various flow conditions with stainless steel pipe material. However, to use this data to develop a model for different flow patterns, fluid properties, pipe, and sand sizes is challenging. The purpose of this work is to develop an artificial intelligence (AI) methodology using machine learning (ML) models to determine TSR for a broad range of operating conditions. More than 250 cases from previous literature as well as ongoing research have been used to train and test the ML models. The data utilized in this work has been generated mostly in a large-scale multiphase flow loop for sand sizes ranging from 25 to 300 μm varying sand concentrations and pipe diameters from 25.4 mm to 101.6 mm ID in vertical and horizontal directions downstream of elbows. The ML algorithms including elastic net, random forest, support vector machine and gradient boosting, are optimized using nested cross-validation and the model performance is evaluated by R-squared score. The machine learning models were used to predict TSR for various velocity combinations under different flow patterns with sand. The sensitivity to changes of input parameters on predicted TSR was also investigated. The method for TSR prediction based on ML algorithms trained on lab data is also validated on actual field conditions available in the literature. The AI method results reveal a good training performance and prediction for a variety of flow conditions and pipe sizes not tested before. This work provides a framework describing a novel methodology with an expanded database to utilize Artificial Intelligence to correlate the TSR with the most common production input parameters.

scholarly journals Comparison of Acceptable Noise Level Generated Using Different Transducers and Response Modes

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Liang Xia ◽  
Jingchun He ◽  
Yuanyuan Sun ◽  
Yi Chen ◽  
Qiong Luo ◽  
...  
Keyword(s):  
Noise Level ◽  
Sound Field ◽  
Normal Hearing ◽  
Noise Levels ◽  
Presentation Modes ◽  
Significant Difference ◽  
Acceptable Noise Level ◽  
The Subject ◽  
Response Modes ◽  
Chinese Subjects

The acceptable noise level (ANL) was defined by subtracting the background noise level (BNL) from the most comfortable listening level (MCL) (ANL = MCL − BNL). This study compared the ANL obtained through different methods in 20 Chinese subjects with normal hearing. ANL was tested with Mandarin speech materials using a loudspeaker or earphones, with each subject tested by himself or by the audiologist. The presentation and response modes were as follows: (1) loudspeaker with self-adjusted noise levels using audiometer controls (LS method); (2) loudspeaker with the subject signaling the audiologist to adjust speech and noise levels (LA method); (3) earphones with self-adjusted noise levels using audiometer controls (ES method); and (4) earphones with the subject signaling the audiologist to adjust speech and noise levels (EA method). ANL was calculated from three measurements with each method. There was no significant difference in the ANL obtained through different presentation modes or response modes sound. The correlations between ANL, MCL, and BNL obtained from each two methods were significant. In conclusion, the ANL in normal-hearing Mandarin listeners may not be affected by presentation modes such as a loudspeaker or earphones nor is it affected by self-adjusted or audiologist-adjusted response modes. Earphone audiometry is as reliable as sound field audiometry and provides an easy and convenient way to measure ANL.

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