Speech Perception by Non-Native Speakers Declines Drastically in Noisy Conditions

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Catherine Caldwell-Harris Boston Universit y 1 Speech Perception by Non-Native Speakers Declines Drastically in Noisy Conditions Catherine Caldwell-Harris, Inna Ryvkin, Andrei Anghelescu, Loraine K. Obler

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Speech Perception by Non-Native Speakers Declines Drastically in Noisy Conditions. Catherine Caldwell-Harris, Inna Ryvkin, Andrei Anghelescu, Loraine K. Obler. Expert language processing system cleans up noisy input -- Wow!. Highly fluent speakers Fill in from meaning - PowerPoint PPT Presentation

Transcript of Speech Perception by Non-Native Speakers Declines Drastically in Noisy Conditions

Page 1: Speech Perception by  Non-Native Speakers Declines Drastically in Noisy Conditions

Catherine Caldwell-Harris Boston University

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Speech Perception by Non-Native Speakers Declines Drastically in

Noisy Conditions

Catherine Caldwell-Harris,Inna Ryvkin, Andrei Anghelescu,

Loraine K. Obler

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Expert language processing system

cleans up noisy input -- Wow!

Highly fluent speakers• Fill in from meaning• Are more sensitive to auditory cues

(Barbara Shinn-Cunninghams’ talk)

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We already know a lot about factors influencing non-native speech

perception

‘Fluency/ability’ matters; and these factors influence fluency (in order of strength):

• Proficiency• Number of years of language use • Amount and type of current use• Age of acquisition (often determines above factors)

Task and input factors• Noise / environment• Sentence context (predictability of words)

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But much less is known about:

How factors that influence skill level interact

• Is early acquisition important even controlling for proficiency and current use?

Does word frequency matter? How do input factors interact?

• Examine word freq in high/low predictable context

Similarity between first and second language

• Those great Dutch learners of English!

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Speech Perception In Noise Test (Bilger, 1984)

Participants were instructed to repeat the last word of each sentence.

80 items selected from the original SPIN sentences.Three variables, fully crossed: predictability of target (Predictable/Unpredictable) lexical frequency of target (High/Low) noise (Noise/Clear).

The noise consisted of multi-speaker babble. Signal-to-noise ratio was -2dB for sentence-plus-noise items. Each item is a sentence that was prerecorded by an adult male and

presented in stereo through headphones.

Clear, predictable Noise, predictable Clear, unpredictableNoise unpredictable

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Examples of conditions

Predictable Context Target

His plan meant taking a big risk. Hi FreqTom fell down and got a bad bruise. Lo Freq

Unpredictable ContextBill might discuss the foam. Hi Freq I was considering the crook. Lo Freq

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Questions in Current Study

Similarity between first and second language

• With L1 Spanish, Russian, Mandarin When identifying targets in spoken English

• Predict: Spanish > Russian > MandarinHigh/low frequency of target words• Predict: frequency effects will depend on

proficiencyAge of acquisition• Predict: Doesn’t matter, after controlling for

proficiency?

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Procedure

Questionnaire Language History Self-rating of proficiency in L1 and English Adult English Language Use Scale (AELU)

Hearing Threshold determination SPIN meant to be administered 50dB above

hearing threshold. Threshold tested via a Behringer UB502

Eurorack 5 Input Mixer

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ENGLISH MANDARIN RUSSIAN SPANISH StatisticalDifferences

Total 25 20 20 20Age 21 21 20 23 n.s.

Verbal SAT 677 570 657 559 (Eng=Rus) >(Mand=Span)

Age ofArrival

14.7 8.3 11.1 Mandarinlatest

Years in US 5.8 11.3 9.8 Mandainfewest

Age ofLearningOnset

10.0 7.5 6.5 Mandarinlatest

AdultEnglish UseScale

20.7(21 totalpossible)

12.3 14.3 13.10 Mandarinleast

Learning History Variables

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Clear Noise Clear Noise

English Mandarin

Predictable, HighFreqPredictable, LowFreqUnpredictable, High FreqUnpredictable, Low Freq

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Clear Noise Clear Noise

English Mandarin

Predictable, HighFreqPredictable, LowFreqUnpredictable, High FreqUnpredictable, Low Freq

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Clear Noise Clear Noise

Russian Spanish

Predictable HighPredictable LowUnpredictable HighUnpredictable Low

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Overview of Results

Native English-speakers performed nearly at ceiling, Mandarin speakers performed most poorly, and Spanish- and Russian-speakers show in intermediate results.

Noise, predictability, frequency matter for all speakers

BUT: Lexical frequency of target is a small effect of native English speakers

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Effect sizes for main effects and interactions

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Clear Condition

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-5 5 15 25 35

Age of Arrival in the U.S.

Percentage of Targets Correct

Predictable - High Freq

Predictable - Low Freq

Unpredictable - High Freq

Unpredictable - Low Freq

Poly. (Predictable - HighFreq)

Poly. (Predictable - LowFreq)

Poly. (Unpredictable - HighFreq)Poly. (Unpredictable - LowFreq)

(Native Eng)

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Noise Condition

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Age of Arrival in the U.S.

Percentage of Targets Correct

(Native Eng)

Predictable Hi Freq

Predictable Lo Freq

Unpredictable Hi Freq

Unpredictable Lo Freq

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Noise Condition

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Age of Arrival in the U.S.

Percentage of Targets Correct

Predictable - High Freq

Predictable - Low Freq

Unpredictable - High Freq

Unpredictable - Low Freq

Linear (Predictable - HighFreq)Linear (Predictable - LowFreq)Linear (Unpredictable - HighFreq)Linear (Unpredictable - LowFreq)

Spanish L1

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Russian L1

Noise Condition

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Age of Arrival in the U.S.

Percentage of Targets Correct

Predictable - High Freq

Predictable - Low Freq

Unpredictable - High Freq

Unpredictable - Low Freq

Linear (Predictable - HighFreq)Linear (Predictable - LowFreq)Linear (Unpredictable - HighFreq)Linear (Unpredictable - LowFreq)

(Native Eng)

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Mandarin L1Noise Condition

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0 5 10 15 20 25 30 35

Age of Arrival in the U.S.

Percentage of Targets Correct

Predictable - High Freq

Predictable - Low Freq

Unpredictable - High Freq

Unpredictable - Low Freq

Linear (Predictable - HighFreq)Linear (Predictable - LowFreq)Linear (Unpredictable - HighFreq)Linear (Unpredictable - LowFreq)

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Need more participants to determine cline of Spanish >

Russian > Mandarin

Statistically, group differences greatly diminished when ages-of-arrival are taken into account.

Age-of-arrival effects very strong. Why?Age-of-arrival may organize immigrants’ language

learning environment (Caldwell-Harris et al, under review). Still,plots for language groups show steeper slope

for decline in target word detection with age-of-arrival for Mandarin speakers.

But Mandarin group had on average later age-of-arrival.

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ENGLISH MANDARIN RUSSIAN SPANISH StatisticalDifferences

Total 25 20 20 20Age 21 21 20 23 n.s.

Verbal SAT 677 570 657 559 (Eng=Rus) >(Mand=Span)

Age ofArrival

14.7 8.3 11.1 Mandarinlatest

Years in US 5.8 11.3 9.8 Mandainfewest

Age ofLearningOnset

10.0 7.5 6.5 Mandarinlatest

AdultEnglish UseScale

20.7(21 totalpossible)

12.3 14.3 13.10 Mandarinleast

Learning History Variables

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Answers in Current Study

Similarity between first and second language

• Comparing L1 Spanish, Russian, Mandarin• Confirmed: Spanish > Russian > Mandarin• But: age-of-arrival confoundHigh/low frequency of target words• Confirmed: frequency effects depend on

proficiency• Implies ‘subject/experienced’ proficiency is what

matters for processing. For high proficiency speakers, need very low freq words? Is log transform sufficient?

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Second language learning ideal for neural net modeling

Use modeling to clarify proposals about main effects and interactions of:

• The role of frequency (why frequency effects disappear for high proficiency learners)

• Predictability -- test hypotheses about when lower proficiency learners can use context to make predictions

• Vary L1-L2 similarity in simulations• Vary “age of exposure” and intensity of

language contact