The role of spectral cues in timbre discrimination by ferrets and humans
Year: 2015
Type: article
Abstract: Timbre distinguishes sounds of equal loudness, pitch, and duration; however, little is known about the neural mechanisms underlying timbre perception. Such understanding requires animal models such as the ferret in which neuronal and behavioral observation can be combined. The current study asked what spectral cues ferrets use to discriminate between synthetic vowels. Ferrets were trained to discriminate vowels differing in the position of the first (F1) and second formants (F2), inter-formant distance, and spectral centroid. In experiment 1, ferrets responded to probe trials containing novel vowels in which the spectral cues of trained vowels were mismatched. Regression models fitted to behavioral responses determined that F2 and spectral centroid were stronger predictors of ferrets' behavior than either F1 or inter-formant distance. Experiment 2 examined responses to single formant vowels and found that individual spectral peaks failed to account for multi-formant vowel perception. Experiment 3 measured responses to unvoiced vowels and showed that ferrets could generalize vowel identity across voicing conditions. Experiment 4 employed the same design as experiment 1 but with human participants. Their responses were also predicted by F2 and spectral centroid. Together these findings further support the ferret as a model for studying the neural processes underlying timbre perception.
DOI: 10.1121/1.4916690
Institution: University College London
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Awards: G1423896556, G4137951624, Identifying the signal in the noise: a systems approach for examining invariance in auditory cortex, G5102982189, Listening in a noisy world: the role of visual activity in auditory cortex for sound perception., Listening in a noisy world: the role of visual activity in auditory cortex for sound perception., G8576659442
OpenAlex ID: W1480063000
