The effects of quinine on frequency selectivity, temporal resolution, and speech recognition in quiet and noise.

2009 ◽  
Vol 125 (4) ◽  
pp. 2721-2721
Author(s):  
Erica J. Williams ◽  
Sid P. Bacon
Keyword(s):  
Speech Recognition ◽  
Temporal Resolution ◽  
Frequency Selectivity

Temporal Resolution and Speech Recognition Ability of Patients with Retrocochlear Auditory Dysfunction

2004 ◽  
Vol 124 (sup554) ◽  
pp. 30-34 ◽  
Author(s):  
Toshiyuki Shibata ◽  
Tetsushi Sakashita ◽  
Hideo Yamane ◽  
Chitoe Hashimoto
Keyword(s):  
Speech Recognition ◽  
Temporal Resolution ◽  
Auditory Dysfunction ◽  
Recognition Ability

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.

Suprathreshold Auditory Processing and Speech Perception in Noise: Hearing-Impaired and Normal-Hearing Listeners

2013 ◽  
Vol 24 (04) ◽  
pp. 274-292 ◽  
Author(s):  
Van Summers ◽  
Matthew J. Makashay ◽  
Sarah M. Theodoroff ◽  
Marjorie R. Leek
Keyword(s):  
Steady State ◽  
Speech Recognition ◽  
Auditory Processing ◽  
High Frequency ◽  
Normal Hearing ◽  
Detection Task ◽  
Frequency Selectivity ◽  
Hearing Impaired ◽  
Signal To Noise ◽  
Peripheral Compression

Background: It is widely believed that suprathreshold distortions in auditory processing contribute to the speech recognition deficits experienced by hearing-impaired (HI) listeners in noise. Damage to outer hair cells and attendant reductions in peripheral compression and frequency selectivity may contribute to these deficits. In addition, reduced access to temporal fine structure (TFS) information in the speech waveform may play a role. Purpose: To examine how measures of peripheral compression, frequency selectivity, and TFS sensitivity relate to speech recognition performance by HI listeners. To determine whether distortions in processing reflected by these psychoacoustic measures are more closely associated with speech deficits in steady-state or modulated noise. Research Design: Normal-hearing (NH) and HI listeners were tested on tasks examining frequency selectivity (notched-noise task), peripheral compression (temporal masking curve task), and sensitivity to TFS information (frequency modulation [FM] detection task) in the presence of random amplitude modulation. Performance was tested at 500, 1000, 2000, and 4000 Hz at several presentation levels. The same listeners were tested on sentence recognition in steady-state and modulated noise at several signal-to-noise ratios. Study Sample: Ten NH and 18 HI listeners were tested. NH listeners ranged in age from 36 to 80 yr (M = 57.6). For HI listeners, ages ranged from 58 to 87 yr (M = 71.8). Results: Scores on the FM detection task at 1 and 2 kHz were significantly correlated with speech scores in both noise conditions. Frequency selectivity and compression measures were not as clearly associated with speech performance. Speech Intelligibility Index (SII) analyses indicated only small differences in speech audibility across subjects for each signal-to-noise ratio (SNR) condition that would predict differences in speech scores no greater than 10% at a given SNR. Actual speech scores varied by as much as 80% across subjects. Conclusions: The results suggest that distorted processing of audible speech cues was a primary factor accounting for differences in speech scores across subjects and that reduced ability to use TFS cues may be an important component of this distortion. The influence of TFS cues on speech scores was comparable in steady-state and modulated noise. Speech recognition was not related to audibility, represented by the SII, once high-frequency sensitivity differences across subjects (beginning at 5 kHz) were removed statistically. This might indicate that high-frequency hearing loss is associated with distortions in processing in lower-frequency regions.

Auditory Temporal Resolution and Open Speech Recognition in Cochlear Implant Recipients

1994 ◽  
Vol 23 (2) ◽  
pp. 105-109 ◽  
Author(s):  
Chava Muchnik ◽  
Rivka Taitelbaum ◽  
Sara Tene ◽  
Minka Hildesheimer
Keyword(s):  
Speech Recognition ◽  
Cochlear Implant ◽  
Temporal Resolution ◽  
Auditory Temporal Resolution

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.

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