Πέμπτη 13 Οκτωβρίου 2016

Effects of Noise on Speech Recognition: Challenges for Communication by Service Members

Publication date: Available online 12 October 2016
Source:Hearing Research
Author(s): Colleen G. Le Prell, Odile Clavier
Speech communication often takes place in noisy environments; this is an urgent issue for military personnel who must communicate in high-noise environments. The effects of noise on speech recognition vary significantly according to the sources of noise, the number and types of talkers, and the listener’s hearing ability. In this review, speech communication is first described as it relates to current standards of hearing assessment for military and civilian populations. The next section categorizes types of noise (also called maskers) according to their temporal characteristics (steady or fluctuating) and perceptive effects (energetic or informational masking). Next, speech recognition difficulties experienced by listeners with hearing loss and by older listeners are summarized, and questions on the possible causes of speech-in-noise difficulty are discussed, including recent suggestions of “hidden hearing loss”. The final section describes tests used by military and civilian researchers, audiologists and hearing technicians to assess performance of an individual in recognizing speech in background noise, as well as metrics that predict performance based on a listener and background noise profile. This article provides readers with an overview of the challenges associated with speech communication in noisy backgrounds, as well as its assessment and potential impact on functional performance, and provides guidance for important new research directions relevant not only to military personnel, but also to employees who work in high noise environments.



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Effects of Noise on Speech Recognition: Challenges for Communication by Service Members

Publication date: Available online 12 October 2016
Source:Hearing Research
Author(s): Colleen G. Le Prell, Odile Clavier
Speech communication often takes place in noisy environments; this is an urgent issue for military personnel who must communicate in high-noise environments. The effects of noise on speech recognition vary significantly according to the sources of noise, the number and types of talkers, and the listener’s hearing ability. In this review, speech communication is first described as it relates to current standards of hearing assessment for military and civilian populations. The next section categorizes types of noise (also called maskers) according to their temporal characteristics (steady or fluctuating) and perceptive effects (energetic or informational masking). Next, speech recognition difficulties experienced by listeners with hearing loss and by older listeners are summarized, and questions on the possible causes of speech-in-noise difficulty are discussed, including recent suggestions of “hidden hearing loss”. The final section describes tests used by military and civilian researchers, audiologists and hearing technicians to assess performance of an individual in recognizing speech in background noise, as well as metrics that predict performance based on a listener and background noise profile. This article provides readers with an overview of the challenges associated with speech communication in noisy backgrounds, as well as its assessment and potential impact on functional performance, and provides guidance for important new research directions relevant not only to military personnel, but also to employees who work in high noise environments.



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Evaluation of Audiometric Test Results to Determine Hearing Impairment in Patients with Rheumatoid Arthritis: Analysis of Data from the Korean National Health and Nutrition Examination Survey

by Hyemin Jeong, Young-Soo Chang, Sun Young Baek, Seon Woo Kim, Yeong Hee Eun, In Young Kim, Jaejoon Lee, Eun-Mi Koh, Hoon-Suk Cha

This study aimed to evaluate the association between rheumatoid arthritis (RA) and hearing impairment in the Korean adult population. Audiometric and laboratory test data from the 2010–2012 Korean National Health and Nutrition Examination Survey (KNHANES) were used for analysis. The relationship between RA and hearing impairment was analyzed, adjusting for various known risk factors associated with hearing impairment. RA was defined in the questionnaire as “RA diagnosed by a physician (yes/no) through a standardized interview.” We defined hearing impairment according to 2 categories of frequency (low/mid and high) as follows (average values in kHz): low/mid frequency, 0.5, 1.0, and 2.0, and high frequency, 3.0, 4.0, and 6.0. Of the subjects, 15,158 (weighted n = 32,035,996) completed the audiometric tests. The overall weighted prevalence of RA was 1.5%. The prevalence of hearing impairment was higher in the subjects with RA than in those without RA, in both, the low/mid- and high-frequency categories (21.1% vs 7.5%, p

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Data-based depth estimation of an incoming autonomous underwater vehicle

The data-based method for estimating the depth of a moving source is demonstrated experimentally for an incoming autonomous underwater vehicle traveling toward a vertical line array (VLA) of receivers at constant speed/depth. The method assumes no information on the sound-speed and bottom profile. Performing a wavenumber analysis of a narrowband signal for each hydrophone, the energy of the (modal) spectral peaks as a function of the receiver depth is used to estimate the depth of the source, traveling within the depth span of the VLA. This paper reviews the theory, discusses practical implementation issues, and presents the data analysis results.



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Comparison of perception-production vowel spaces for speakers of Standard Modern Greek and two regional dialects

This study compared the perception-production vowel spaces for speakers of Standard Modern Greek and two regional dialects. In experiment 1, participants produced the Greek vowels and chose vowel best exemplars (prototypes) in a natural sentence spoken in the participants' dialect. In experiment 2, the speakers who had made the recordings for experiment 1 chose themselves vowel prototypes. Cross-dialectal differences were found in both perception and production. Across dialects and experiments, participants' perceptual space was exaggerated compared to the acoustic one. Because participants' perceptual space in experiment 2 was calibrated to the participants own voice, perception and production data are directly comparable.



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Lexically guided perceptual tuning of internal phonetic category structure

Listeners use lexical information to retune the mapping between the acoustic signal and speech sound representations, resulting in changes to phonetic category boundaries. Other research shows that phonetic categories have a rich internal structure; within-category variation is represented in a graded fashion. The current work examined whether lexically informed perceptual learning promotes a comprehensive reorganization of internal category structure. The results showed a reorganization of internal structure for one but not both of the examined categories, which may reflect an attenuation of learning for distributions with extensive category overlap. This finding points towards potential input-driven constraints on lexically guided phonetic retuning.



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Effects of Noise on Speech Recognition: Challenges for Communication by Service Members

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Publication date: Available online 12 October 2016
Source:Hearing Research
Author(s): Colleen G. Le Prell, Odile Clavier
Speech communication often takes place in noisy environments; this is an urgent issue for military personnel who must communicate in high-noise environments. The effects of noise on speech recognition vary significantly according to the sources of noise, the number and types of talkers, and the listener’s hearing ability. In this review, speech communication is first described as it relates to current standards of hearing assessment for military and civilian populations. The next section categorizes types of noise (also called maskers) according to their temporal characteristics (steady or fluctuating) and perceptive effects (energetic or informational masking). Next, speech recognition difficulties experienced by listeners with hearing loss and by older listeners are summarized, and questions on the possible causes of speech-in-noise difficulty are discussed, including recent suggestions of “hidden hearing loss”. The final section describes tests used by military and civilian researchers, audiologists and hearing technicians to assess performance of an individual in recognizing speech in background noise, as well as metrics that predict performance based on a listener and background noise profile. This article provides readers with an overview of the challenges associated with speech communication in noisy backgrounds, as well as its assessment and potential impact on functional performance, and provides guidance for important new research directions relevant not only to military personnel, but also to employees who work in high noise environments.



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Effects of Noise on Speech Recognition: Challenges for Communication by Service Members

S03785955.gif

Publication date: Available online 12 October 2016
Source:Hearing Research
Author(s): Colleen G. Le Prell, Odile Clavier
Speech communication often takes place in noisy environments; this is an urgent issue for military personnel who must communicate in high-noise environments. The effects of noise on speech recognition vary significantly according to the sources of noise, the number and types of talkers, and the listener’s hearing ability. In this review, speech communication is first described as it relates to current standards of hearing assessment for military and civilian populations. The next section categorizes types of noise (also called maskers) according to their temporal characteristics (steady or fluctuating) and perceptive effects (energetic or informational masking). Next, speech recognition difficulties experienced by listeners with hearing loss and by older listeners are summarized, and questions on the possible causes of speech-in-noise difficulty are discussed, including recent suggestions of “hidden hearing loss”. The final section describes tests used by military and civilian researchers, audiologists and hearing technicians to assess performance of an individual in recognizing speech in background noise, as well as metrics that predict performance based on a listener and background noise profile. This article provides readers with an overview of the challenges associated with speech communication in noisy backgrounds, as well as its assessment and potential impact on functional performance, and provides guidance for important new research directions relevant not only to military personnel, but also to employees who work in high noise environments.



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Effects of Noise on Speech Recognition: Challenges for Communication by Service Members

S03785955.gif

Publication date: Available online 12 October 2016
Source:Hearing Research
Author(s): Colleen G. Le Prell, Odile Clavier
Speech communication often takes place in noisy environments; this is an urgent issue for military personnel who must communicate in high-noise environments. The effects of noise on speech recognition vary significantly according to the sources of noise, the number and types of talkers, and the listener’s hearing ability. In this review, speech communication is first described as it relates to current standards of hearing assessment for military and civilian populations. The next section categorizes types of noise (also called maskers) according to their temporal characteristics (steady or fluctuating) and perceptive effects (energetic or informational masking). Next, speech recognition difficulties experienced by listeners with hearing loss and by older listeners are summarized, and questions on the possible causes of speech-in-noise difficulty are discussed, including recent suggestions of “hidden hearing loss”. The final section describes tests used by military and civilian researchers, audiologists and hearing technicians to assess performance of an individual in recognizing speech in background noise, as well as metrics that predict performance based on a listener and background noise profile. This article provides readers with an overview of the challenges associated with speech communication in noisy backgrounds, as well as its assessment and potential impact on functional performance, and provides guidance for important new research directions relevant not only to military personnel, but also to employees who work in high noise environments.



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Long-Time Voice Accumulation During Work, Leisure, and a Vocal Loading Task in Groups With Different Levels of Functional Voice Problems

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Publication date: Available online 12 October 2016
Source:Journal of Voice
Author(s): Susanna Whitling, Viveka Lyberg-Åhlander, Roland Rydell
ObjectiveThe study aimed to examine the vocal behavior and self-assessed vocal health in women with varying everyday vocal load and functional voice problems, including patients with functional dysphonia, in three conditions: work, leisure, and a vocal loading task (VLT).Study DesignThis is a longitudinal controlled, clinical trial.MethodsFifty (n = 50) female subjects were tracked during 7 days' voice accumulation accompanied by a voice health questionnaire, containing general assessments with visual analogue scale and specific voice health questions. Subjects were divided into four vocal subgroups according to everyday vocal load and functional vocal complaints. Accumulation time was divided into three conditions: a VLT, work, and leisure. The following behavioral parameters were measured: (1) relative phonation time (%), (2) phonatory sound pressure/voice level (dB sound pressure level), (3) ambient noise level (dB sound pressure level), and (4) phonatory fundamental frequency (Hz).ResultsPatients with functional dysphonia reported significantly higher specific voice problems across conditions and worse general voice problems during work and leisure than other groups. Women with high everyday vocal load and voice complaints showed higher phonation times and fundamental frequency during work than voice healthy controls. They also reported the highest incidence of general voice problems in the VLT.ConclusionsVocal loading relates to prolonged phonation time at high fundamental frequencies. Patients with functional dysphonia experience general and specific voice problems permanently, whereas women with everyday vocal load and voice complaints recover during leisure. This may explain why the latter group does not seek voice therapy.



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Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies

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Publication date: Available online 12 October 2016
Source:Journal of Voice
Author(s): Hugo Cordeiro, José Fonseca, Isabel Guimarães, Carlos Meneses
ObjectivesSpeech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which the use of a noninvasive method for pathologic voice identification is an important step forward for preliminary diagnosis. In this study, a hierarchical classifier and a combination of systems are used to improve the accuracy of a three-class identification system (healthy, physiological larynx pathologies, and neuromuscular larynx pathologies).MethodThree main subject classes were considered: subjects with physiological larynx pathologies (vocal fold nodules and edemas: 59 samples), subjects with neuromuscular larynx pathologies (unilateral vocal fold paralysis: 59 samples), and healthy subjects (36 samples). The variables used in this study were a speech task (sustained vowel /a/ or continuous reading speech), features with or without perceptual information, and features with or without direct information about formants evaluated using single classifiers. A hierarchical classification system was designed based on this information.ResultsThe resulting system combines an analysis of continuous speech by way of the commonly used sustained vowel /a/ to obtain spectral and perceptual speech features. It achieved an accuracy of 84.4%, which represents an improvement of approximately 9% compared with the stand-alone approach. For pathologic voice identification, the accuracy obtained was 98.7%, and the identification accuracy for the two pathology classes was 81.3%.ConclusionsHierarchical classification and system combination create significant benefits and introduce a modular approach to the classification of larynx pathologies.



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Analysis of genetic and non genetic risk factors for cisplatin ototoxicity in pediatric patients.

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Analysis of genetic and non genetic risk factors for cisplatin ototoxicity in pediatric patients.

Int J Pediatr Otorhinolaryngol. 2016 Nov;90:64-69

Authors: Olgun Y, Aktaş S, Altun Z, Kırkım G, Kızmazoğlu DÇ, Erçetin AP, Demir B, İnce D, Mutafoğlu K, Demirağ B, Ellidokuz H, Olgun N, Güneri EA

Abstract
OBJECTIVE: The aim of this study was to analyse the genetic and non genetic risk factors for cisplatin ototoxicity.
METHODS: This study was conducted on 72 children who received cisplatin based chemotherapy. Brock and Muenster classifications were used to evaluate ototoxicity seen in these children. 6 single nucleotide polymorphisms (SNP); ERCC1 rs 11615, GSTP1 rs1138272, GSTP1 rs1695, LRP2 rs 2075252, TPMT rs 12201199, COMT rs 9332377, were evaluated as genetic factors by real time PCR. Non genetic factors such as cranial irradiation, cumulative doses of cisplatin, age, gender, administration of other ototoxic drugs were analysed as well. By using Chi-square test, risk factors were matched with the ototoxicity classifications. Significant risk factors were reevaluated using logistic regression modelling.
RESULTS: According to univariate analyses, male gender, co-treatment with aminoglycosides and mutant genotype of GSTP1 rs1695 were significantly related with cisplatin ototoxicity. Logistic regression modelling analyses also showed that male gender, co-treatment with aminoglycosides were found to be significantly related with cisplatin ototoxicity. Mutant genotype of GSTP1 rs1695 was not found to be significant, but close to the level of statistical significance.
CONCLUSION: Male gender, co-treatment with aminoglycosides are significant risk factors for cisplatin ototoxicity in pediatric patients. Mutant genotype of GSTP1 rs1695 seems to be a genetic risk factor in univariate analyses, although not confirmed by multivariate analyses. Therefore, GSTP1 rs1695 SNP needs to be studied in larger series.

PMID: 27729156 [PubMed - in process]



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Analysis of genetic and non genetic risk factors for cisplatin ototoxicity in pediatric patients.

Related Articles

Analysis of genetic and non genetic risk factors for cisplatin ototoxicity in pediatric patients.

Int J Pediatr Otorhinolaryngol. 2016 Nov;90:64-69

Authors: Olgun Y, Aktaş S, Altun Z, Kırkım G, Kızmazoğlu DÇ, Erçetin AP, Demir B, İnce D, Mutafoğlu K, Demirağ B, Ellidokuz H, Olgun N, Güneri EA

Abstract
OBJECTIVE: The aim of this study was to analyse the genetic and non genetic risk factors for cisplatin ototoxicity.
METHODS: This study was conducted on 72 children who received cisplatin based chemotherapy. Brock and Muenster classifications were used to evaluate ototoxicity seen in these children. 6 single nucleotide polymorphisms (SNP); ERCC1 rs 11615, GSTP1 rs1138272, GSTP1 rs1695, LRP2 rs 2075252, TPMT rs 12201199, COMT rs 9332377, were evaluated as genetic factors by real time PCR. Non genetic factors such as cranial irradiation, cumulative doses of cisplatin, age, gender, administration of other ototoxic drugs were analysed as well. By using Chi-square test, risk factors were matched with the ototoxicity classifications. Significant risk factors were reevaluated using logistic regression modelling.
RESULTS: According to univariate analyses, male gender, co-treatment with aminoglycosides and mutant genotype of GSTP1 rs1695 were significantly related with cisplatin ototoxicity. Logistic regression modelling analyses also showed that male gender, co-treatment with aminoglycosides were found to be significantly related with cisplatin ototoxicity. Mutant genotype of GSTP1 rs1695 was not found to be significant, but close to the level of statistical significance.
CONCLUSION: Male gender, co-treatment with aminoglycosides are significant risk factors for cisplatin ototoxicity in pediatric patients. Mutant genotype of GSTP1 rs1695 seems to be a genetic risk factor in univariate analyses, although not confirmed by multivariate analyses. Therefore, GSTP1 rs1695 SNP needs to be studied in larger series.

PMID: 27729156 [PubMed - in process]



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Novel compound heterozygous mutations in SLC26A4 gene in a Chinese Han family with enlarged vestibular aqueduct.

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Novel compound heterozygous mutations in SLC26A4 gene in a Chinese Han family with enlarged vestibular aqueduct.

Int J Pediatr Otorhinolaryngol. 2016 Nov;90:170-174

Authors: Wang M, Zhang F, Xu L, Xiao Y, Li J, Fan Z, Sun Q, Bai X, Wang H

Abstract
OBJECTIVE: To identify the disease-related SLC26A4 mutants in a Chinese Han pedigree associated with Enlarged vestibular aqueduct (EVA).
METHODS: EVA diagnosis was based on the family history, clinical examinations, systematically audiometric evaluations, high-resolution computed tomography (HRCT) of the temporal bone, and magnetic resonance imaging (MRI) of inner ear. Sanger sequencing and mutation analysis of the SLC26A4 gene were performed in all members of this family to identify the disease-related SLC26A4 mutants. Mutations in the SLC26A4 gene were compared with 200 ethnically matched control persons to exclude common polymorphism.
RESULTS: All members in this family were negative for systemic and thyroid diseases. There were three subjects (I-2, II-2 and II-3) with bilateral sensorineural deafness since childhood. Temporal bone HRCT scans and inner ear MRI showed bilateral enlarged vestibular aqueduct with Mondini malformation in II-2 and II-3. A novel SLC26A4 splice-site mutation c.1001 + 5G > C was identified in compound heterozygosity with the mutation c.919-2A > G in the proband and in II-2. This novel compound heterozygote of two splice site mutations was not found in 200 normal hearing Chinese Han controls.
CONCLUSIONS: A novel splice site mutation of c.1001 + 5G > C was identified, and the novel compound heterozygote of two splice site mutations, c.1001 + 5G > C and c.919-2A > G, in the SLC26A4 gene has been linked to hearing impairment in EVA patients.

PMID: 27729126 [PubMed - in process]



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Compound heterozygous MYO7A mutations segregating Usher syndrome type 2 in a Han family.

Related Articles

Compound heterozygous MYO7A mutations segregating Usher syndrome type 2 in a Han family.

Int J Pediatr Otorhinolaryngol. 2016 Nov;90:150-155

Authors: Zong L, Chen K, Wu X, Liu M, Jiang H

Abstract
OBJECTIVE: Identification of rare deafness genes for inherited congenital sensorineural hearing impairment remains difficult, because a large variety of genes are implicated. In this study we applied targeted capture and next-generation sequencing to uncover the underlying gene in a three-generation Han family segregating recessive inherited hearing loss and retinitis pigmentosa.
METHODS: After excluding mutations in common deafness genes GJB2, SLC26A4 and the mitochondrial gene, genomic DNA of the proband of a Han family was subjected to targeted next-generation sequencing. The candidate mutations were confirmed by Sanger sequencing and subsequently analyzed with in silico tools.
RESULTS: An unreported splice site mutation c.3924+1G > C compound with c.6028G > A in the MYO7A gene were detected to cosegregate with the phenotype in this pedigree. Both mutations, located in the evolutionarily conserved FERM domain in myosin VIIA, were predicted to be pathogenic. In this family, profound sensorineural hearing impairment and retinitis pigmentosa without vestibular disorder, constituted the typical Usher syndrome type 2.
CONCLUSION: Identification of novel mutation in compound heterozygosity in MYO7A gene revealed the genetic origin of Usher syndrome type 2 in this Han family.

PMID: 27729122 [PubMed - in process]



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