Title: Differences in production account for differences in perception: The Gradual Learning Algorithm predicts language-specific cue weighting
1Differences in production account for
differences in perception The Gradual Learning
Algorithm predicts language-specific cue weighting
Paul Boersma, University of Amsterdam Paola
Escudero, University of Reading Lisbon, February
2, 2001
2Sound Contrasts
- Sound contrasts and acoustic information
- An example of a sound contrast in English
- What are the acoustic differences between the
two?
3Acoustic cues to sheep vs. ship
4Elspeth and Lizs production environments
5Do Elspeth and Liz perceive 350 Hz, 80 ms as
sheep or as ship?
6Why using the nearest production prototype in
perception?
- Why not perceiving it as an /e/ or an /o/?
- Answer likelihood maximisation, the most
likely category - Functional principle minimisation of perceptual
confusion probability
7How do Elspeth and Liz perceive the segments
reliably?
350 Hz, 80 ms 350 Hz not /I/ 80 ms not /i/ 80 ms not /I/ 350 Hz not /i/
/I/ !
? /i/
350 Hz, 80 ms 350 Hz not /i/ 80 ms not /i/ 80 ms not /I/ 350 Hz not /I/
? /I/
/i/ !
8How about baby Elspeth and baby Liz?
9How about baby Elspeth and baby Liz?
- Little Elspeth makes a mistake when categorising
350 Hz, 80 ms
350 Hz, 80 ms 350 Hz not /i/ 80 ms not /i/ 80 ms not /I/ 350 Hz not /I/
? /I/ ? ?
? /i/ !? ?
10Little Elspeth and little Liz have learned to
perceive sheep and ship reliably, they are
adults
11Little Elspeth and little Liz have learned to
perceive sheep and ship reliably, they are
adults
12The perception of real adult Elspeth and Liz