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Published on: April 19, 2017
Natural speech statistics shift phoneme categorization
Christian E Stilp1, Ashley A Assgari2
1Department of Psychological and Brain Sciences, University of Louisville, 317 Life Sciences Building, Louisville, KY, 40292, USA. christian.stilp@louisville.edu.
Speech perception relies on context. This study shows the auditory system is sensitive to natural speech statistics, not just filtered sounds, influencing vowel categorization.
Area of Science:
- Auditory Neuroscience
- Speech Perception
- Psychoacoustics
Background:
- Speech sound recognition is influenced by surrounding acoustic properties.
- Spectral differences between context and target sounds bias auditory categorization.
- Previous research used filtered sounds, neglecting natural speech statistics.
Purpose of the Study:
- To investigate auditory system sensitivity to natural speech statistics in spectral context effects.
- To compare vowel categorization using filtered versus unfiltered speech stimuli.
- To assess the ecological validity of filtered stimuli in speech perception research.
Main Methods:
- Vowel categorization tasks were conducted using both filtered and unfiltered speech sentences.
- Stimuli varied in spectral composition, manipulating first formant (F1) frequencies.
- Experiment measured categorization biases under different context sound conditions.
Main Results:
- Vowel categorization was biased by both filtered and unfiltered context sentences.
- Larger spectral differences in context led to greater categorization biases.
- Biases were smaller and more variable with unfiltered (naturalistic) speech.
Conclusions:
- The auditory system is attuned to natural signal statistics in speech perception.
- Spectral context effects extend to more naturalistic listening conditions.
- Filtered stimuli may not fully replicate real-world speech perception phenomena.
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