Literature DB >> 6707320

Speech coding in the auditory nerve: V. Vowels in background noise.

B Delgutte, N Y Kiang.   

Abstract

Responses of auditory-nerve fibers to steady-state, two-formant vowels in low-pass background noise (S/N = 10 dB) were obtained in anesthetized cats. For fibers over a wide range of characteristic frequencies (CFs), the peaks in discharge rate at the onset of the vowel stimuli were nearly eliminated in the presence of noise. In contrast, strong effects of noise on fine time patterns of discharge were limited to CF regions that are far from the formant frequencies. One effect is a reduction in the amplitude of the response component at the fundamental frequency in the high-CF regions and for CFs between F1 and F2 when the formants are widely separated. A reduction in the amplitude of the response components at the formant frequencies, with concomitant increase in components near CF or low-frequency components occurs in CF regions where the signal-to-noise ratio is particularly low. The processing schemes that were effective for estimating the formant frequencies and fundamental frequency of vowels in quiet generally remain adequate in moderate-level background noise. Overall, the discharge patterns contain many cues for distinctions among the vowel stimuli, so that the central processor should be able to identify the different vowels, consistent with psychophysical performance at moderate signal-to-noise ratios.

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Mesh:

Year:  1984        PMID: 6707320     DOI: 10.1121/1.390537

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  13 in total

1.  Predictions of formant-frequency discrimination in noise based on model auditory-nerve responses.

Authors:  Qing Tan; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2006-09       Impact factor: 1.840

2.  Contribution of spiking activity in the primary auditory cortex to detection in noise.

Authors:  Kate L Christison-Lagay; Sharath Bennur; Yale E Cohen
Journal:  J Neurophysiol       Date:  2017-08-30       Impact factor: 2.714

3.  Effects of signal level and background noise on spectral representations in the auditory nerve of the domestic cat.

Authors:  Lina A J Reiss; Ramnarayan Ramachandran; Bradford J May
Journal:  J Assoc Res Otolaryngol       Date:  2010-09-08

4.  Computational Modeling of Synchrony in the Auditory Nerve in Response to Acoustic and Electric Stimulation.

Authors:  Raymond L Goldsworthy
Journal:  Front Comput Neurosci       Date:  2022-06-17       Impact factor: 3.387

5.  Distorted Tonotopy Severely Degrades Neural Representations of Connected Speech in Noise following Acoustic Trauma.

Authors:  Satyabrata Parida; Michael G Heinz
Journal:  J Neurosci       Date:  2022-01-04       Impact factor: 6.709

6.  Adaptive temporal encoding leads to a background-insensitive cortical representation of speech.

Authors:  Nai Ding; Jonathan Z Simon
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

Review 7.  Supra-Threshold Hearing and Fluctuation Profiles: Implications for Sensorineural and Hidden Hearing Loss.

Authors:  Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2018-05-09

Review 8.  Neural and behavioral investigations into timbre perception.

Authors:  Stephen M Town; Jennifer K Bizley
Journal:  Front Syst Neurosci       Date:  2013-11-13

9.  Reverberation impairs brainstem temporal representations of voiced vowel sounds: challenging "periodicity-tagged" segregation of competing speech in rooms.

Authors:  Mark Sayles; Arkadiusz Stasiak; Ian M Winter
Journal:  Front Syst Neurosci       Date:  2015-01-12

Review 10.  Use of the guinea pig in studies on the development and prevention of acquired sensorineural hearing loss, with an emphasis on noise.

Authors:  Gaëlle Naert; Marie-Pierre Pasdelou; Colleen G Le Prell
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 2.482

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