title: Detection, direction discrimination, and off-frequency interference of center-frequency modulations and glides for vowel formants.
abstract: Vowels are mainly classified by the positions of peaks in their frequency spectra, the formants. For normal-hearing subjects, change detection and direction discrimination were measured for linear glides in the center frequency (CF) of formantlike sounds. A CF rove was used to prevent subjects from using either the start or end points of the glides as cues. In addition, change detection and starting-phase (start-direction) discrimination were measured for similar stimuli with a sinusoidal 5-Hz formant-frequency modulation. The stimuli consisted of single formants generated using a number of different stimulus parameters including fundamental frequency, spectral slope, frequency region, and position of the formant relative to the harmonic spectrum. The change detection thresholds were in good agreement with the predictions of a model which analyzed and combined the effects of place-of-excitation and temporal cues. For most stimuli, thresholds were approximately equal for change detection and start-direction discrimination. Exceptions were found for stimuli that consisted of only one or two harmonics. In a separate experiment, it was shown that change detection and start-direction discrimination of linear and sinusoidal formant-frequency modulations were impaired by off-frequency frequency-modulated interferers. This frequency modulation detection interference was larger for formants with shallow than for those with steep spectral slopes.
authors.affiliation: MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 2EF United Kingdom.
authors.forename: J
authors.initials: J
authors.lastname: Lyzenga
authors.forename: R P
authors.initials: RP
authors.lastname: Carlyon
mesh_terms: D001309:Auditory Threshold / Q000502:physiology; D006801:Humans; D010700:Phonetics; D013063:Speech Discrimination Tests; D013067:Speech Perception / Q000502:physiology*; D013997:Time Factors