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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Gradient sensitivity to within-category variation in words and syllables
Bob McMurray1, Richard N Aslin, Michael K Tanenhaus
1Department of Psychology, University of Iowa, Iowa City, IA 52242, USA. bob.mcmurray@uiowa.edu
Listeners process subphonetic variation in speech, like voice-onset time (VOT), in a gradient manner. This allows for dynamic compensation of acoustic variability during spoken word recognition.
Area of Science:
- Psycholinguistics
- Speech Perception
- Auditory Neuroscience
Background:
- Subphonetic variation, such as voice-onset time (VOT), plays a crucial role in distinguishing speech sounds.
- Previous research has established the importance of VOT in phoneme and word recognition.
Purpose of the Study:
- To investigate the influence of within-category subphonetic variation on the perception of stop consonants.
- To examine how listeners process continuous acoustic-phonetic information during spoken word recognition.
Main Methods:
- Five experiments utilized eye movements to monitor participants' responses during phoneme and lexical identification tasks.
- Synthetic voice-onset time (VOT) continua were employed to systematically vary subphonetic information.
- Factors such as response alternatives, task type (lexical vs. phoneme decision), and token type were manipulated.
Main Results:
- Gradient effects of voice-onset time (VOT) were consistently observed across all experimental conditions.
- Listeners demonstrated sensitivity to continuous subphonetic variation, even within phonetic categories.
- Results replicated previous findings with natural speech and extended them to synthetic speech stimuli.
Conclusions:
- Spoken word recognition involves the activation of lexical competitors in proportion to their continuous acoustic-phonetic distance from category boundaries.
- This gradient processing mechanism enables listeners to anticipate acoustic-phonetic information and dynamically adapt to speech variability.
- The findings highlight the sophisticated and continuous nature of phonetic perception in real-time language processing.
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