4asc43 patterns in the perception of vc c v nearey and
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4aSC43 Patterns in the perception of VC(C)V Nearey and Smits - PowerPoint PPT Presentation

4aSC43 Patterns in the perception of VC(C)V Nearey and Smits Nearey & Smits: Perception of VCCV 1 Patterns in the perception of VC(C)V strings Terrance M. Nearey University of Alberta Roel Smits Max Planck Institute for


  1. 4aSC43 Patterns in the perception of VC(C)V Nearey and Smits Nearey & Smits: Perception of VCCV 1

  2. Patterns in the perception of VC(C)V strings Terrance M. Nearey University of Alberta Roel Smits Max Planck Institute for Psycholinguistics (Work supported by SSHRC & MPI )

  3. Experiment based on Repp 1983 • Our study like Repp [1] expt. 1 with synthetic VC(C)V where C = [+stop] – Repp ran 3 sub experiments 1a, 1b and 1c – Our experiment had smaller total gap duration range than Repp, but larger than any single sub experiment – Our experiment had more spectral patterns than Repp Nearey & Smits: Perception of VCCV 3

  4. Challenge to modeling • Our models of perception of fixed string length have been quite successful – e.g. CV or /hVC/ syllables [3,4] • Repp’s 1983 abda experiments – Variable length strings in one stimulus set – VCV: aba, ada; VCCV : abda, abda, abba, adda – Apparently very complex perceptual results [1, 2] • We take complexity as a challenge to our models – Can we extend the simple architecture of our models to handle variable string-length case? Nearey & Smits: Perception of VCCV 4

  5. 5000 Stimulus # 78 of 144. Most extreme [abda] place cues /abda/ Stimulus #78 (of 144) 4000 3000 2000 1000 0 0 100 200 300 400 500 600 Nearey & Smits: Perception of VCCV 5

  6. Experiment details • Stimuli arrayed in fully crossed design – F2 (F3) VC offset: 1060 (2180) to 1450 (2539) Hz in 6 steps – F2 (F3) CV onset: 1099 (2262) to 1635 (2500) Hz in 6 steps] • F2 and F3 correlated (r = +1.0) in both offsets and onsets – Gap Duration: 80, 120, 190 and 300 ms; – Total 144 = 6 x 6 x 4 stimuli • Subjects and responses – Each responded to10 repetitions of each of 144 stimuli – 13 native speakers of Canadian English – Response button layout: [b] [bb] [bd] [d] [dd] [db] Nearey & Smits: Perception of VCCV 6

  7. Phonetic cover terms • Canonical “duration” classes – Singletons /aba/ or /ada/ – Clusters (heterorganic) /abda/ or /adba/ – Geminates /ab#ba/ or /ad#da/ • Place of articulation classes (closing and opening) – Closing place class (place of first or only stop) • Labial closers: / b / / b b/ / b d/; Dental closers: / d /, / d d/, / d b/ – Opening place class (place of second or only stop) • Labial openers : / b / / b b/ /d b /; Dental openers: / d /, / d d/, /b d / Nearey & Smits: Perception of VCCV 7

  8. General results I: Primary duration class patterns • Duration class patterns – Short duration gaps favor singletons – Intermediate gaps favor heterorganic clusters – Very long gaps favor geminates – But single-place singleton and geminates always less likely when transition patterns clash see below. Nearey & Smits: Perception of VCCV 8

  9. General Results II: Primary place patterns • Closing place class affected by VC- F2 F3 offset – Low F2 F3 offset favors labial closers / b b b b d/ – High F2 F3 offset favors dental closers / d d d d b/ • Opening place affected by -CV F2 F3 onset – Low F2 F3 offset favors labial openers / b b b d b / – High F2 F3 offset favors dental closers / d d d b d / Nearey & Smits: Perception of VCCV 9

  10. General Pattern III: Apparent complications Definition: Clash of transition patterns – Closing VC_ transitions near the low /_b/ end but opening _CV near the high /_d/ end – or vice versa • At longer gap durations – even fairly small clash tends favor clusters [bd], [db] over singletons or geminates • At short gap durations, – singletons favored unless clash is quite large – singleton responses dominated by opening _CV cues Nearey & Smits: Perception of VCCV 10

  11. Apparent time-dependent assimilation/dissimilation effects • Repp 1983 summarized key results in by • Time course – Proactive (left to right): preceding VC 1 _ stimulus affects judgment of following _C 2 V – Retroactive (right to left); following _C 2 V stimulus affects judgment of preceding VC 1 _ • Phonetic cross-gap agreement of responses – Assimilation (more one place responses: /d, dd, b, bb/) – Dissimilation (more two place: /db, bd/) Nearey & Smits: Perception of VCCV 11

  12. General trends in apparent assimilation • For Repp 1983 experiment 1 – Retroactive effects larger than proactive – Strong assimilation prevalent for shorter gap durations – Some dissimilation present for longer gap duration – Longest gap duration shows little effect • Our experiment – Trends (using Repp’s measure) are similar [see notes]. Nearey & Smits: Perception of VCCV 12

  13. Baseline logistic model • Define 6 ‘diphone’ consonant categories – Label them ‘CC’ CC 1 = b, CC 2 = d, CC 3 = bb, CC 4 = dd, CC 5 = bd, CC 6 = db/ * /d/ and /b/ are ‘degenerate’ diphones • Three stimulus properties 1) Xclose – VC (syl. 1) closure transition step 2) Xopen – CV (syl. 2) opening transition step 3) Xdur – gap duration [note: duration coded as sqrt(ms)] Nearey & Smits: Perception of VCCV 13

  14. Results Baseline Model • Pretty good fit 1) RMS = 5.96% • Score response rate in percentage points • Calculate RMS error of (predicted – observed) 2) Percent modal agreement PMA = 93.75% • Number of cells in which observed response category with most votes corresponds to predicted response category with highest predicted score. • Agrees for 135 of 144 stimuli Nearey & Smits: Perception of VCCV 14

  15. Analysis of regression weights • Fit baseline model to each subject’s data separately – Basis for simple repeated measures comparisons • Examine means and between subject variation in weight patterns for each cue • May give insight into how information is integrated Nearey & Smits: Perception of VCCV 15

  16. Baseline Model: CC * Xclose Baseline model CC * Xclose t 1 n e i 0.5 c i f f 0 e o C -0.5 -1 d dd db b bb bd ResponseCategory Matlab Boxplots. “Belt” is median, notch width robust 95% confidence estimate. Nearey & Smits: Perception of VCCV 16

  17. Coefficients of Xclose depend only on phonetic closer class • Coefficients for Xclose [ = closing (VC) F2 F3 transition patterns] show very strong clustering – Labial closers / b , b b, b d/ show low values – Dental closers / d , d d, d b/ show high high values [Statistics in appendix panels] • Key fact: the phonetic nature of the opener has negligible effect on how Xclose tunes likelihood of closer place. Only phonetic closer class matters. Nearey & Smits: Perception of VCCV 17

  18. Baseline Model: CC * Xopen Baseline model CC * Xopen 1.5 t n e 1 i c 0.5 i f f 0 e o -0.5 C -1 -1.5 d dd db b bb bd ResponseCategory Matlab Boxplots. “Belt” is median, notch width robust 95% confidence estimate. Nearey & Smits: Perception of VCCV 18

  19. Coefficients of Xopen depend on phonetic opener class • Coefficients for Xopen [= opening (VC) F2 F3 transition patterns] show very strong clustering – Labial openers / b , b b , d b / show low values – Dental openers / d , d d , b d / show high high values [Statistics in appendix panels] • Key fact: the phonetic nature of the closer has minimal effect on how Xopen tunes likelihood of opener place. Only phonetic opener class matters. Nearey & Smits: Perception of VCCV 19

  20. Baseline Model: CC * Xdur Baseline model CC * Xdur 0.6 t n 0.4 e i c 0.2 i f 0 f e o -0.2 C -0.4 -0.6 d dd db b bb bd ResponseCategory Nearey & Smits: Perception of VCCV 20

  21. Coefficients of Xdur depend only on phonetic duration class • Coefficients for Xdur (= silent gap duration) show strong clustering – Singletons /b, d/ show low coefficients for Xdur – Heterorganic clusters /db, bd/ show moderately high coefficients – Geminates /bb, dd/ show highest coefficients • There is negligible differentiation of members within duration class [See appendix panels for statistics] Nearey & Smits: Perception of VCCV 21

  22. Summary of baseline model • Only the ‘obvious’, primary cues count • Results from Baseline model suggest extremely simple tuning of response by ‘local’ stimulus properties • This permits construction of a more restricted model • Fewer fitted parameters implementing a factored model – Extension of methods of Nearey 1990 Nearey & Smits: Perception of VCCV 22

  23. Factored model Factoring characteristics of CC in baseline model – Pdur : tripartite category of phonological duration classes • 1-singleton, 2-geminate and 3-heterorganic cluster – Pclose : • 1- labial closer :[b, bb, bd] • 2- dental closer [d, dd, db] – Popen : • 1- labial opener :[b, bb, db] • 2- dental opener [d, dd,bd] Nearey & Smits: Perception of VCCV 23

  24. Example Factoring of CC * Xdur • Example if contrasts among 6 CC can be factored for different stimuli – (e.g.) replace CC*Xdur with Pdur * Xdur – Reduces coefficients from 6 to 3, (and df from 5 to 2) • If gap duration affects CC judgments only through Duration Class, then this should give similar fit with fewer coefficients Nearey & Smits: Perception of VCCV 24

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