Time Analysis

Viemeister, Neal F.; Plack, Christopher J.

doi:10.1007/978-1-4612-2728-1_4

Cited by 78 publications

(68 citation statements)

References 108 publications

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“…The average ABR gap threshold was similar to the average gap detection threshold obtained here and to gap detection thresholds for broadband signals reported in many other studies (Viemeister & Plack, 1993). The increase observed in both psychophysical gap detection threshold and ABR gap threshold at low signal level has been reported in previous gap detection studies (e.g., Fitzgibbons, 1983).…”

Section: Discussionsupporting

confidence: 90%

“…As Viemeister and Plack (1993) point out, for speech and other acoustic communication sounds, "the temporal pattern of spectral changes is, essentially, the informational substrate" (p. 116). Thus, it is not surprising that the auditory system has evolved fine temporal resolution, nor is it surprising that deficits in temporal resolution are associated with deficits in speech understanding (e.g., Dreschler & Leeuw, 1990;Dreschler & Plomp, 1980;Phillips, 1999).…”

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confidence: 99%

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Human Auditory Brainstem Response to Temporal Gaps in Noise

Werner

Folsom

Mancl

et al. 2001

J Speech Lang Hear Res

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Gap detection is a commonly used measure of temporal resolution, although the mechanisms underlying gap detection are not well understood. To the extent that gap detection depends on processes within, or peripheral to, the auditory brainstem, one would predict that a measure of gap threshold based on the auditory brainstem response (ABR) would be similar to the psychophysical gap detection threshold. Three experiments were performed to examine the relationship between ABR gap threshold and gap detection. Thresholds for gaps in a broadband noise were measured in young adults with normal hearing, using both psychophysical techniques and electrophysiological techniques that use the ABR. The mean gap thresholds obtained with the two methods were very similar, although ABR gap thresholds tended to be lower than psychophysical gap thresholds. There was a modest correlation between psychophysical and ABR gap thresholds across participants.ABR and psychophysical thresholds for noise masked by temporally continuous, high-pass, or spectrally notched noise were measured in adults with normal hearing. Restricting the frequency range with masking led to poorer gap thresholds on both measures. High-pass maskers affected the ABR and psychophysical gap thresholds similarly. Notched-noise-masked ABR and psychophysical gap thresholds were very similar except that low-frequency, notched-noise-masked ABR gap threshold was much poorer at low levels. The ABR gap threshold was more sensitive to changes in signal-to-masker ratio than was the psychophysical gap detection threshold. ABR and psychophysical thresholds for gaps in broadband noise were measured in listeners with sensorineural hearing loss and in infants. On average, both ABR gap thresholds and psychophysical gap detection thresholds of listeners with hearing loss were worse than those of listeners with normal hearing, although individual differences were observed. Psychophysical gap detection thresholds of 3-and 6-month-old infants were an order of magnitude worse than those of adults with normal hearing, as previously reported; however, ABR gap thresholds of 3-month-old infants were no different from those of adults with normal hearing. These results suggest that ABR gap thresholds and psychophysical gap detection depend on at least some of the same mechanisms within the auditory system.

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Section: Discussionsupporting

confidence: 90%

mentioning

confidence: 99%

Human Auditory Brainstem Response to Temporal Gaps in Noise

Werner

Folsom

Mancl

et al. 2001

J Speech Lang Hear Res

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“…Fine structure describes relatively rapid fluctuations in sound pressure contained in the signal (i.e. the signal frequency) whereas envelope modulations describe slower changes in the overall amplitude (Viemeister and Plack, 1993). Behavioral studies indicate that birds rely on both classes of temporal structure to discriminate signal variants, and generally rely on temporal cues more than mammals Lohr et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Vocally correlated seasonal auditory variation in the house sparrow (Passer domesticus)

Henry

Lucas

2009

Journal of Experimental Biology

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SUMMARYSongbirds exhibit seasonal plasticity in a broad variety of behavioral and morphological traits associated with reproduction. Changes in song production are well described while changes in song reception are not. In the present study, we test for seasonal variation in auditory processing of the house sparrow (Passer domesticus L.) using auditory brainstem responses (ABRs) to tone bursts. We measured amplitude and latency of the first ABR peak in spring, summer and autumn at stimulus frequencies from 0.8 to 6.4kHz and intensity levels from 24 to 80dB SPL. ABR thresholds were determined at each frequency using cross-correlation. Amplitude was greater in spring than in autumn at frequencies from 3.2 to 6.4kHz whereas latency and thresholds exhibited no seasonal variation. The results indicate an increase in the number or temporal synchrony of responses from peripheral auditory neurons during the early breeding season. Changes in peripheral auditory processing may enhance temporal coding of the fine structure and envelope of song; thereby, improving assessment of encoded information in both sexes (e.g. individual identity and dominance status) and auditory feedback during song production in males. Peripheral auditory changes may be mediated by reproductive hormones, and could involve changes in hair cell density on the basilar papilla. Our results suggest that peripheral auditory processing of songbirds changes seasonally in parallel with other behavioral and morphological traits, such as song production.

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“…In other words, the envelope needs to go through less than one "cycle" of fluctuation for the fluctuation to be detectable. The results suggest that duration thresholds are determined not only by how much the envelope fluctuates during the stimulus but also by the rapidity of the fluctuation; rapid fluctuations are harder to detect than slow fluctuations, consistent with temporal modulation transfer functions (Dau et al, 1997;Viemeister, 1979;Viemeister and Plack, 1993). It would be useful to conduct further experiments with an even wider range of center frequencies to assess the validity of this explanation.…”

Section: B Effects Of Frequency and Bandwidthmentioning

confidence: 67%

Durations required to distinguish noise and tone: Effects of noise bandwidth and frequency

Taghipour

Moore

Edler

2016

The Journal of the Acoustical Society of America

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Perceptual audio coders exploit the masking properties of the human auditory system to reduce the bit rate in audio recording and transmission systems; it is intended that the quantization noise is just masked by the audio signal. The effectiveness of the audio signal as a masker depends on whether it is tone-like or noise-like. The determination of this, both physically and perceptually, depends on the duration of the stimuli. To gather information that might improve the efficiency of perceptual coders, the duration required to distinguish between a narrowband noise and a tone was measured as a function of center frequency and noise bandwidth. In experiment 1, duration thresholds were measured for isolated noise and tone bursts. In experiment 2, duration thresholds were measured for tone and noise segments embedded within longer tone pulses

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Time Analysis

Cited by 78 publications

References 108 publications

Human Auditory Brainstem Response to Temporal Gaps in Noise

Human Auditory Brainstem Response to Temporal Gaps in Noise

Vocally correlated seasonal auditory variation in the house sparrow (Passer domesticus)

Durations required to distinguish noise and tone: Effects of noise bandwidth and frequency

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