Literature DB >> 8655797

Vowel discrimination in cats: acquisition, effects of stimulus level, and performance in noise.

R D Hienz1, C M Aleszczyk, B J May.   

Abstract

The ability of cats to discriminate accurately among different synthetic, steady-state vowels was examined across a range of stimulus levels and in background noise. Cats were trained to press and hold down a lever to produce a pulsed train of a standard vowel stimulus, and to release the lever only when a different vowel sound occurred. Five synthetic vowels were tested (/e/, /ae/, /a/, /o/, and /u/) at levels of 30, 50, 70, and 90 dB SPL. In separate experiments, each of these vowels served in turn as the standard vowel. All cats discriminated among the vowels accurately, and in general performed at least as well at high stimulus levels as at low levels. Where differences in vowel discriminability occurred, they were correlated with the relative changes in first and second formant peaks. Cats appear to predominantly utilize upward frequency changes in either the first or second formants of the vowels to make the discriminations; downward formant changes produced considerably lower discrimination performances. In background noise, high vowel discriminability was still maintained at an average signal/noise ratio of -12.3 dB. Thus cats can discriminate among vowels at high signal levels and in background noise, despite the fact that the neural representations of vowels based on rate responses in the auditory nerve can be severely degraded under these conditions.

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Year:  1996        PMID: 8655797     DOI: 10.1121/1.414980

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


  10 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.  Zebra finches exhibit speaker-independent phonetic perception of human speech.

Authors:  Verena R Ohms; Arike Gill; Caroline A A Van Heijningen; Gabriel J L Beckers; Carel ten Cate
Journal:  Proc Biol Sci       Date:  2009-12-02       Impact factor: 5.349

3.  Vowel Formant Frequency Discrimination in Cats: Comparison of Auditory Nerve Representations and Psychophysical Thresholds.

Authors:  Bradford J May; Aileen Huang; Glenn LE Prell; Robert D Hienz
Journal:  Audit Neurosci       Date:  1996-04-24

4.  Spectral timbre perception in ferrets: discrimination of artificial vowels under different listening conditions.

Authors:  Jennifer K Bizley; Kerry M M Walker; Andrew J King; Jan W H Schnupp
Journal:  J Acoust Soc Am       Date:  2013-01       Impact factor: 1.840

5.  Zebra finches and Dutch adults exhibit the same cue weighting bias in vowel perception.

Authors:  Verena R Ohms; Paola Escudero; Karin Lammers; Carel ten Cate
Journal:  Anim Cogn       Date:  2011-07-15       Impact factor: 3.084

Review 6.  Neural and behavioral investigations into timbre perception.

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

Review 7.  Revisiting vocal perception in non-human animals: a review of vowel discrimination, speaker voice recognition, and speaker normalization.

Authors:  Buddhamas Kriengwatana; Paola Escudero; Carel Ten Cate
Journal:  Front Psychol       Date:  2015-01-13

8.  Phonetic acquisition in cortical dynamics, a computational approach.

Authors:  Dario Dematties; Silvio Rizzi; George K Thiruvathukal; Alejandro Wainselboim; B Silvano Zanutto
Journal:  PLoS One       Date:  2019-06-07       Impact factor: 3.240

9.  Changes in Neuronal Representations of Consonants in the Ascending Auditory System and Their Role in Speech Recognition.

Authors:  Mark A Steadman; Christian J Sumner
Journal:  Front Neurosci       Date:  2018-10-12       Impact factor: 4.677

Review 10.  In what sense are dogs special? Canine cognition in comparative context.

Authors:  Stephen E G Lea; Britta Osthaus
Journal:  Learn Behav       Date:  2018-12       Impact factor: 1.986

  10 in total

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