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Perceptie-effecten van geografische variantie in (micro-)prosodische eigenschappen Marie Nilsenová Communicatie- en informatie Wetenschappen Faculteit.

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Presentation on theme: "Perceptie-effecten van geografische variantie in (micro-)prosodische eigenschappen Marie Nilsenová Communicatie- en informatie Wetenschappen Faculteit."— Presentation transcript:

1 Perceptie-effecten van geografische variantie in (micro-)prosodische eigenschappen Marie Nilsenová Communicatie- en informatie Wetenschappen Faculteit Geesteswetenschappen Universiteit van Tilburg

2 Background Clear correlation between age, body size and F0, as well as timbre (Greisbach 1999, Kraus, Freyberg & Morsella 2002) Listeners should be able to exploit that knowledge, eg reflecting on the Frequency Code: deeper bigger/taller But listener estimates not as good as could be expected, also correlation not always perfect (Cohen et al 1980, Gunter & Manning 1982, van Dommelen & Moxness 1995) Free (non-linguistic) variation with social, geographical distribution? Expectation: listeners should perform better when estimating speakers in their own variant compared to another variant

3 Methodology 16 speakers (8 male, 8 female/8 B-Dutch, 8 B-Flemish) reading the same short text (newspaper article) 2 groups of participants - Dutch, Flemish Task: estimate speaker’s length, weight, age and the ‘pleasantness’ of the voice (operationalized as 3 properties; Cronbach’s  >.65); fixed time Also report if speaker Dutch or Flemish

4 Speaker comparison: Female Age (years) Weight (kg) Length (cm) NL-fem-12565173 NL-fem-24060174 NL-fem-35763163 NL-fem-45665178 VL-fem-13860169 VL-fem-23168180 VL-fem-33456163 VL-fem-43656169

5 Speaker comparison: Male Age (years) Weight (kg) Length (cm) NL-masc-14188184 NL-masc-23472184 NL-masc-32983190 NL-masc-42583174 VL-masc-13279185 VL-masc-24165180 VL-masc-32878188 VL-masc-43763168

6 Questionnaire Wat vindt u van deze stem? Plezierig      Onplezierig Vriendelijk      Onvriendelijk Aangenaam      Vervelend Wat is volgens u de leeftijd van de spreker? jaar Wat is volgens u de lengte van de spreker? cm Wat is volgens u het gewicht van de spreker? kg De spreker is Vlaams  Nederlands 

7 Design Two conditions: normal and reversed speech (Audacity) Purpose of the reversed speech condition: –to assure that speakers do not adapt to the variant they hear based on previous experience; –also, to examine if adaptation to own variant also relevant for perception of an ‘unknown’ language

8 Participants (N=179) Normal speech condition Reversed speech condition Dutch Male Female 10 25 27 41 Flemish Male Female 9 18 13 36 Total62117

9 Measure of accuracy Index of accuracy (Kraus, Freyberg & Morsella 2002): the average of the absolute difference between estimated and actual values (AD) - the mean of the absolute differences between judges’ estimates of speakers’ values on an attribute and the speakers’ actual value The AD measure indexes judges’ average error in estimating a particular attribute It answers the question “How close is the average estimate of attribute X to the actual value of X?” Absolute accuracy - the sum of the absolute difference between estimated and actual values (AA)

10 Results (Length) Normal condition (AD): interaction effect between speakers’ variant and gender, and listeners’ variant (p<.05, partial eta squared =.127) in the predicted direction Reversed condition (AD): main effect of speakers’ variant (p<.05, partial eta squared =.058): Dutch speakers estimated more accurately than Flemish speakers

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13 Results (Pleasantness) Normal speech condition: interaction effect of speaker’s variant and listener’s variant (p<.01, partial eta squared =.135) - listeners prefered their own variant Reversed speech condition: clear main effect of speaker’s variant (p<.001, partial eta squared =.535) - reversed Flemish prefered to reversed Dutch

14 Conclusion Accuracy of length estimation higher in normal speech condition for own variant Result not translated into the reversed speech condition Clear preference for speakers of own variant Listeners generally reported that estimating weight difficult Other measures of accuracy to explore the directions of the accuracy judgments

15 Thanks to: Hanne Kloots Machiel Debets Julia Hirschberg Marc Swerts


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