Literature DB >> 6707318

Speech coding in the auditory nerve: III. Voiceless fricative consonants.

B Delgutte, N Y Kiang.   

Abstract

Responses of auditory-nerve fibers in anesthetized cats were recorded for synthetic voiceless fricative consonants. The four stimuli (/x/, /s/, /s/, and /f/) were presented at two levels corresponding to speech in which the levels of the vowels would be approximately 60 and 75 dB SPL, respectively. Discharge patterns were characterized in terms of PST histograms and their power spectra. For both stimulus levels, frequency regions in which the stimuli had considerable energy corresponded well with characteristic-frequency (CF) regions in which average discharge rates were the highest. At the higher level, the profiles of discharge rate against CF were more distinctive for the stimulus onset than for the central portion. Power spectra of PST histograms had large response components near fiber characteristic frequencies for CFs up to 3-4 kHz, as well as low-frequency components for all fibers. The relative amplitudes of these components varied for the different stimuli. In general, the formant frequencies of the fricatives did not correspond with the largest response components, except for formants below about 3 kHz. Processing schemes based on fine time patterns of discharge that were effective for vowel stimuli generally failed to extract the formant frequencies of fricatives.

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Year:  1984        PMID: 6707318     DOI: 10.1121/1.390598

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


  8 in total

1.  Different timescales for the neural coding of consonant and vowel sounds.

Authors:  Claudia A Perez; Crystal T Engineer; Vikram Jakkamsetti; Ryan S Carraway; Matthew S Perry; Michael P Kilgard
Journal:  Cereb Cortex       Date:  2012-03-16       Impact factor: 5.357

2.  Neural representation of spectral and temporal information in speech.

Authors:  Eric D Young
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

3.  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

4.  Encoding of a spectrally-complex communication sound in the bullfrog's auditory nerve.

Authors:  J J Schwartz; A M Simmons
Journal:  J Comp Physiol A       Date:  1990-02       Impact factor: 1.836

5.  Perception and coding of high-frequency spectral notches: potential implications for sound localization.

Authors:  Ana Alves-Pinto; Alan R Palmer; Enrique A Lopez-Poveda
Journal:  Front Neurosci       Date:  2014-05-27       Impact factor: 4.677

6.  Distorting temporal fine structure by phase shifting and its effects on speech intelligibility and neural phase locking.

Authors:  Yingyue Xu; Maxin Chen; Petrina LaFaire; Xiaodong Tan; Claus-Peter Richter
Journal:  Sci Rep       Date:  2017-10-17       Impact factor: 4.379

Review 7.  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

8.  Spectrally specific temporal analyses of spike-train responses to complex sounds: A unifying framework.

Authors:  Satyabrata Parida; Hari Bharadwaj; Michael G Heinz
Journal:  PLoS Comput Biol       Date:  2021-02-22       Impact factor: 4.475

  8 in total

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