scholarly journals Comparison of Clinical and Traditional Gap Detection Tests

2015 ◽  
Vol 26 (06) ◽  
pp. 540-546 ◽  
Author(s):  
Eric Hoover ◽  
Lauren Pasquesi ◽  
Pamela Souza
Keyword(s):  
Speech Recognition ◽  
Temporal Resolution ◽  
Gap Detection ◽  
Clinical Tests ◽  
Younger Adults ◽  
Speech In Noise ◽  
Data Collection And Analysis ◽  
Highly Correlated ◽  
Speech Recognition In Noise ◽  
The Relationship

Background: Temporal resolution is important for speech recognition and may contribute to variability in speech recognition among patients. Clinical tests of temporal resolution are available, but it is not clear how closely results of those tests correspond to results of traditional temporal resolution tests. Purpose: The purpose of this study was to compare the Gaps-in-Noise (GIN) test to a traditional measure of gap detection. Study Sample: This study included older adults with hearing loss and younger adults with normal hearing. Data Collection and Analysis: Participants completed one practice and two test blocks of each gap detection test, and a measure of speech-in-noise recognition. Individual data were correlated to examine the relationship between the tests. Results: The GIN and traditional gap detection were significantly, but not highly correlated. The traditional gap detection test contributed to variance in speech recognition in noise, while the GIN did not. Conclusions: The brevity and ease of implementing the GIN in the clinic make it a viable test of temporal resolution. However, it differs from traditional measures in implementation, and as a result relies on different cognitive factors. The GIN thresholds should be interpreted carefully and not presumed to represent an approximation of traditional gap detection thresholds.

scholarly journals The Relationship between Random Gap Detection and Hearing in Noise Test Performances

2018 ◽  
Vol 29 (10) ◽  
pp. 948-954 ◽  
Author(s):  
Paige Heeke ◽  
Andrew J. Vermiglio ◽  
Emery Bulla ◽  
Keerthana Velappan ◽  
Xiangming Fang
Keyword(s):  
Speech Recognition ◽  
Temporal Resolution ◽  
Time Interval ◽  
Gap Detection ◽  
Speech Understanding ◽  
Noise Performance ◽  
Hearing In Noise ◽  
Noise Test ◽  
Speech Recognition In Noise ◽  
The Relationship

AbstractTemporal acoustic cues are particularly important for speech understanding, and past research has inferred a relationship between temporal resolution and speech recognition in noise ability. A temporal resolution disorder is thought to affect speech understanding abilities because persons would not be able to accurately encode these frequency transitions, creating speech discrimination errors even in the presence of normal pure-tone hearing.The primary purpose was to investigate the relationship between temporal resolution as measured by the Random Gap Detection Test (RGDT) and speech recognition in noise performance as measured by the Hearing in Noise Test (HINT) in adults with normal audiometric thresholds. The second purpose was to examine the relationship between temporal resolution and spatial release from masking.The HINT and RGDT protocols were administered under headphones according to the guidelines specified by the developers. The HINT uses an adaptive protocol to determine the signal-to-noise ratio where the participant recognizes 50% of the sentences. For HINT conditions, the target sentences were presented at 0° and the steady-state speech-shaped noise and a four-talker babble (4TB) was presented at 0°, +90°, or −90° for noise front, noise right, and noise left conditions, respectively. The RGDT is used to evaluate temporal resolution by determining the smallest time interval between two matching stimuli that can be detected by the participant. The RGDT threshold is the shortest time interval where the participant detects a gap. Tonal (0.5, 1, 2, and 4 kHz) and click stimuli random gap subtests were presented at 60 dB HL. Tonal subtests were presented in a random order to minimize presentation order effects.Twenty-one young, native English-speaking participants with normal pure-tone thresholds (≤25 dB HL for 500–4000 Hz) participated in this study. The average age of the participants was 20.2 years (SD = 0.66).Spearman rho correlation coefficients were conducted using SPSS 22 (IBM Corp., Armonk, NY) to determine the relationships between HINT and RGDT thresholds and derived measures (spatial advantage and composite scores). Nonparametric testing was used because of the ordinal nature of RGDT data.Moderate negative correlations (p < 0.05) were found between eight RGDT and HINT threshold measures and a moderate positive correlation (p < 0.05) was found between RGDT click thresholds and HINT 4TB spatial advantage. This suggests that as temporal resolution abilities worsened, speech recognition in noise performance improved. These correlations were not statistically significant after the p value reflected the Bonferroni correction for multiple comparisons.The results of the present study imply that the RGDT and HINT use different temporal processes. Performance on the RGDT cannot be predicted from HINT thresholds or vice versa.

The Relationship between High-Frequency Pure-Tone Hearing Loss, Hearing in Noise Test (HINT) Thresholds, and the Articulation Index

2012 ◽  
Vol 23 (10) ◽  
pp. 779-788 ◽  
Author(s):  
Andrew J. Vermiglio ◽  
Sigfrid D. Soli ◽  
Daniel J. Freed ◽  
Laurel M. Fisher
Keyword(s):  
Speech Recognition ◽  
High Frequency ◽  
Pure Tone ◽  
Speech In Noise ◽  
Hearing Ability ◽  
Hearing In Noise ◽  
Articulation Index ◽  
Speech Recognition In Noise ◽  
The Relationship ◽  
Pure Tone Threshold

Background: Speech recognition in noise testing has been conducted at least since the 1940s (Dickson et al, 1946). The ability to recognize speech in noise is a distinct function of the auditory system (Plomp, 1978). According to Kochkin (2002), difficulty recognizing speech in noise is the primary complaint of hearing aid users. However, speech recognition in noise testing has not found widespread use in the field of audiology (Mueller, 2003; Strom, 2003; Tannenbaum and Rosenfeld, 1996). The audiogram has been used as the “gold standard” for hearing ability. However, the audiogram is a poor indicator of speech recognition in noise ability. Purpose: This study investigates the relationship between pure-tone thresholds, the articulation index, and the ability to recognize speech in quiet and in noise. Research Design: Pure-tone thresholds were measured for audiometric frequencies 250–6000 Hz. Pure-tone threshold groups were created. These included a normal threshold group and slight, mild, severe, and profound high-frequency pure-tone threshold groups. Speech recognition thresholds in quiet and in noise were obtained using the Hearing in Noise Test (HINT) (Nilsson et al, 1994; Vermiglio, 2008). The articulation index was determined by using Pavlovic's method with pure-tone thresholds (Pavlovic, 1989, 1991). Study Sample: Two hundred seventy-eight participants were tested. All participants were native speakers of American English. Sixty-three of the original participants were removed in order to create groups of participants with normal low-frequency pure-tone thresholds and relatively symmetrical high-frequency pure-tone threshold groups. The final set of 215 participants had a mean age of 33 yr with a range of 17–59 yr. Data Collection and Analysis: Pure-tone threshold data were collected using the Hughson-Weslake procedure. Speech recognition data were collected using a Windows-based HINT software system. Statistical analyses were conducted using descriptive, correlational, and multivariate analysis of covariance (MANCOVA) statistics. Results: The MANCOVA analysis (where the effect of age was statistically removed) indicated that there were no significant differences in HINT performances between groups of participants with normal audiograms and those groups with slight, mild, moderate, or severe high-frequency hearing losses. With all of the data combined across groups, correlational analyses revealed significant correlations between pure-tone averages and speech recognition in quiet performance. Nonsignificant or significant but weak correlations were found between pure-tone averages and HINT thresholds. Conclusions: The ability to recognize speech in steady-state noise cannot be predicted from the audiogram. A new classification scheme of hearing impairment based on the audiogram and the speech reception in noise thresholds, as measured with the HINT, may be useful for the characterization of the hearing ability in the global sense. This classification scheme is consistent with Plomp's two aspects of hearing ability (Plomp, 1978).

Effects of Age and Uncertainty on the Visual Speech Benefit in Noise

2021 ◽  
pp. 1-20
Author(s):  
Julie Beadle ◽  
Jeesun Kim ◽  
Chris Davis
Keyword(s):  
Older Adults ◽  
Speech Recognition ◽  
Signal To Noise Ratio ◽  
Age Groups ◽  
Visual Speech ◽  
Auditory Signal ◽  
Younger Adults ◽  
Speech In Noise ◽  
Speech Recognition In Noise ◽  
Talking Face

Purpose: Listeners understand significantly more speech in noise when the talker's face can be seen (visual speech) in comparison to an auditory-only baseline (a visual speech benefit). This study investigated whether the visual speech benefit is reduced when the correspondence between auditory and visual speech is uncertain and whether any reduction is affected by listener age (older vs. younger) and how severe the auditory signal is masked. Method: Older and younger adults completed a speech recognition in noise task that included an auditory-only condition and four auditory–visual (AV) conditions in which one, two, four, or six silent talking face videos were presented. One face always matched the auditory signal; the other face(s) did not. Auditory speech was presented in noise at −6 and −1 dB signal-to-noise ratio (SNR). Results: When the SNR was −6 dB, for both age groups, the standard-sized visual speech benefit reduced as more talking faces were presented. When the SNR was −1 dB, younger adults received the standard-sized visual speech benefit even when two talking faces were presented, whereas older adults did not. Conclusions: The size of the visual speech benefit obtained by older adults was always smaller when AV correspondence was uncertain; this was not the case for younger adults. Difficulty establishing AV correspondence may be a factor that limits older adults' speech recognition in noisy AV environments. Supplemental Material https://doi.org/10.23641/asha.16879549

Evaluation of Automatic Directional Processing with Cochlear Implant Recipients

2021 ◽  
Vol 32 (08) ◽  
pp. 478-486
Author(s):  
Lisa G. Potts ◽  
Soo Jang ◽  
Cory L. Hillis
Keyword(s):  
Signal Processing ◽  
Speech Recognition ◽  
Cochlear Implant ◽  
Mixed Model ◽  
Dynamic Range ◽  
Individual Variability ◽  
Noise Performance ◽  
Mixed Model Analysis ◽  
Speech In Noise ◽  
Speech Recognition In Noise

Abstract Background For cochlear implant (CI) recipients, speech recognition in noise is consistently poorer compared with recognition in quiet. Directional processing improves performance in noise and can be automatically activated based on acoustic scene analysis. The use of adaptive directionality with CI recipients is new and has not been investigated thoroughly, especially utilizing the recipients' preferred everyday signal processing, dynamic range, and/or noise reduction. Purpose This study utilized CI recipients' preferred everyday signal processing to evaluate four directional microphone options in a noisy environment to determine which option provides the best speech recognition in noise. A greater understanding of automatic directionality could ultimately improve CI recipients' speech-in-noise performance and better guide clinicians in programming. Study Sample Twenty-six unilateral and seven bilateral CI recipients with a mean age of 66 years and approximately 4 years of CI experience were included. Data Collection and Analysis Speech-in-noise performance was measured using eight loudspeakers in a 360-degree array with HINT sentences presented in restaurant noise. Four directional options were evaluated (automatic [SCAN], adaptive [Beam], fixed [Zoom], and Omni-directional) with participants' everyday use signal processing options active. A mixed-model analysis of variance (ANOVA) and pairwise comparisons were performed. Results Automatic directionality (SCAN) resulted in the best speech-in-noise performance, although not significantly better than Beam. Omni-directional performance was significantly poorer compared with the three other directional options. A varied number of participants performed their best with each of the four-directional options, with 16 performing best with automatic directionality. The majority of participants did not perform best with their everyday directional option. Conclusion The individual variability seen in this study suggests that CI recipients try with different directional options to find their ideal program. However, based on a CI recipient's motivation to try different programs, automatic directionality is an appropriate everyday processing option.

The Impact of Music Training and Working Memory on Speech Recognition in Older Age

2021 ◽  
pp. 1-11
Author(s):  
Bruna S. Mussoi
Keyword(s):  
Older Adults ◽  
Working Memory ◽  
Speech Recognition ◽  
Digit Span ◽  
Memory Capacity ◽  
Small Sample ◽  
Music Training ◽  
Speech In Noise ◽  
Speech Recognition In Noise ◽  
The Impact

Purpose Music training has been proposed as a possible tool for auditory training in older adults, as it may improve both auditory and cognitive skills. However, the evidence to support such benefits is mixed. The goal of this study was to determine the differential effects of lifelong musical training and working memory on speech recognition in noise, in older adults. Method A total of 31 musicians and nonmusicians aged 65–78 years took part in this cross-sectional study. Participants had a normal pure-tone average, with most having high-frequency hearing loss. Working memory (memory capacity) was assessed with the backward Digit Span test, and speech recognition in noise was assessed with three clinical tests (Quick Speech in Noise, Hearing in Noise Test, and Revised Speech Perception in Noise). Results Findings from this sample of older adults indicate that neither music training nor working memory was associated with differences on the speech recognition in noise measures used in this study. Similarly, duration of music training was not associated with speech-in-noise recognition. Conclusions Results from this study do not support the hypothesis that lifelong music training benefits speech recognition in noise. Similarly, an effect of working memory (memory capacity) was not apparent. While these findings may be related to the relatively small sample size, results across previous studies that investigated these effects have also been mixed. Prospective randomized music training studies may be able to better control for variability in outcomes associated with pre-existing and music training factors, as well as to examine the differential impact of music training and working memory for speech-in-noise recognition in older adults.

Gap detection and speech recognition in noise in younger versus older listeners

2015 ◽  
Vol 137 (4) ◽  
pp. 2436-2436
Author(s):  
Susan M. DeMetropolis ◽  
Janet R. Schoepflin ◽  
Lawrence J. Raphael
Keyword(s):  
Speech Recognition ◽  
Gap Detection ◽  
Speech Recognition In Noise

Recognition of Speech in Noise with New Hearing Instrument Compression Release Settings Requires Explicit Cognitive Storage and Processing Capacity

2007 ◽  
Vol 18 (07) ◽  
pp. 618-631 ◽  
Author(s):  
Catharina Foo ◽  
Mary Rudner ◽  
Jerker Rönnberg ◽  
Thomas Lunner
Keyword(s):  
Speech Recognition ◽  
Predictive Value ◽  
Strong Predictor ◽  
Cognitive Capacity ◽  
Cognitive Tests ◽  
Reading Span ◽  
Predictive Values ◽  
Speech In Noise ◽  
Hearing Instruments ◽  
Speech Recognition In Noise

Evidence suggests that cognitive capacity predicts the ability to benefit from specific compression release settings in non-linear digital hearing instruments. Previous studies have investigated the predictive value of various cognitive tests in relation to aided speech recognition in noise using compression release settings that have been experienced for a certain period. However, the predictive value of cognitive tests with new settings, to which the user has not had the opportunity to become accustomed, has not been studied. In the present study, we compare the predictive values of two cognitive tests, reading span and letter monitoring, in relation to aided speech recognition in noise for 32 habitual hearing instrument users using new compression release settings. We found that reading span was a strong predictor of speech recognition in noise with new compression release settings. This result generalizes previous findings for experienced test settings to new test settings, for both speech recognition in noise tests used in the present study, Hagerman sentences and HINT. Letter monitoring, on the other hand, was not found to be a strong predictor of speech recognition in noise with new compression release settings. La evidencia sugiere que la capacidad cognitiva predice la habilidad de beneficiarse de ajustes específicos de liberación de la compresión en instrumentos auditivos digitales no lineales. Estudios previos han investigado el valor de predicción de varias pruebas cognitivas en relación con el reconocimiento amplificado del lenguaje en medio de ruido utilizando ajustes de liberación de la compresión que han sido experimentados por un cierto período de tiempo. Sin embargo, el valor de predicción de la pruebas cognitivas con los nuevos ajustes, donde le usuario no ha tenido la oportunidad de acostumbrarse, no ha sido estudiado. En el presente estudio, comparamos el valor de predicción de dos pruebas cognitivas, lapso de lectura y monitoreo de letras, en relación con el reconocimiento amplificado del lenguaje en medio de ruido, para 32 usuarios habituales de dispositivos auditivos, usando nuevos ajustes de liberación de la compresión. Este resultado generaliza hallazgos previos para ajustes de prueba en sujetos con experiencia, pasados a nuevos ajustes, tanto para pruebas de reconocimiento de lenguaje en medio de ruido usadas en este estudio, como para frases de Hagerman y HINT. El monitoreo de letras, por otro lado, no se ha visto que sea un fuerte elemento de predicción para el reconocimiento del lenguaje en medio de ruido con nuevos ajustes de liberación de la compresión.

Evaluation of Speech Recognition of Cochlear Implant Recipients Using a Personal Digital Adaptive Radio Frequency System

2013 ◽  
Vol 24 (08) ◽  
pp. 714-724 ◽  
Author(s):  
Jace Wolfe ◽  
Mila Morais ◽  
Erin Schafer ◽  
Emily Mills ◽  
Hans E. Mülder ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Radio Frequency ◽  
Repeated Measures ◽  
Digital System ◽  
Superior Performance ◽  
Noise Levels ◽  
Transmission Systems ◽  
Repeated Measures Design ◽  
Data Collection And Analysis ◽  
Speech Recognition In Noise

Background: Previous research supports the use of frequency modulation (FM) systems for improving speech recognition in noise of individuals with cochlear implants (CIs). However, at this time, there is no published research on the potential speech recognition benefit of new digital adaptive wireless radio transmission systems. Purpose: The goal of this study was to compare speech recognition in quiet and in noise of CI recipients while using traditional, fixed-gain analog FM systems, adaptive analog FM systems, and adaptive digital wireless radio frequency transmission systems. Research Design: A three-way repeated-measures design was used to examine performance differences among devices, among speech recognition conditions in quiet and in increasing levels of background noise, and between users of Advanced Bionics and Cochlear CIs. Study Sample: Seventeen users of Advanced Bionics Harmony CI sound processors and 20 users of Cochlear Nucleus 5 sound processors were included in the study. Data Collection and Analysis: Participants were tested in a total of 32 speech-recognition-in noise-test conditions, which included one no-FM and three device conditions (fixed-gain FM, adaptive FM, and adaptive digital) at the following signal levels: 64 dBA speech (at the location of the participant) in quiet and 64 dBA speech with competing noise at 50, 55, 60, 65, 70, 75, and 80 dBA noise levels. Results: No significant differences were detected between the users of Advanced Bionics and Cochlear CIs. All of the radio frequency system conditions (i.e., fixed-gain FM, adaptive FM, and adaptive digital) outperformed the no-FM conditions in test situations with competing noise. Specifically, in conditions with 70, 75, and 80 dBA of competing noise, the adaptive digital system provided better performance than the fixed-gain and adaptive FM systems. The adaptive FM system did provide better performance than the fixed-gain FM system at 70 and 75 dBA of competing noise. At the lower noise levels of 50, 55, 60, and 65 dBA, no significant differences were detected across the three systems, and no significant differences were found across the quiet conditions. In all conditions, performance became poorer as the competing noise level increased. Conclusions: In high levels of noise, the adaptive digital system provides superior performance when compared to adaptive analog FM and fixed-gain FM systems.

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