Download Identifying frication & aspiration noise in the frequency

Identifying frication & aspiration noise
in the frequency domain:
The case of Korean alveolar lax fricatives
Kyuchul Yoon
Division of English
Kyungnam University
Spring 2008 Joint Conference of KSPS & KASS
Korean lax alveolar fricatives
• Two different types of noise
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Algorithm
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Algorithm
• Change of energy distribution in the frequency
domain over time
• Energy distribution on a frame-by-frame basis
(e.g. 5 msec)
• Sums of band energy across the reference (e.g.
low cutoff) frequency
• criterionValue variable determines the boundary
• Assumption: Same criteronValue for same speaker
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How Praat script works
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How Praat script works
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Experiment
<Table 1> The list of words used in the experiment. The words marked with * was also used in
the repeated series experiment. The numbers in parentheses represent the number of repetition
during the recording.
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Results & Conclusion
Human 1 vs. Script 1
Repeated
<Histogram 1> The histogram of differences between the manually inserted and
automatically inserted boundaries for the repeated series experiment. X-axis in msec.
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Results & Conclusion
The outlier from <Histogram 1>. The difference was 6.4 msec.
The m and a represents manual and automatic respectively.
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Results & Conclusion
The same-speaker-same-criterionValue assumption holds!
Human 1 vs. Script 1
Non-repeated
Human 2 vs. Script 2
Non-repeated
<Histogram 2> The histogram of differences between the manually inserted and automatically
inserted boundaries for the non-repeated series experiment with 53 words. X-axis in msec.
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Results & Conclusion
Human 1 vs. Human 2
Non-repeated
Script 1 vs. Script 2
Non-repeated
<Histogram 3> The histogram of differences between the two phoneticians and the two automated
scripts for the non-repeated series experiment with 53 words. X-axis in msec.
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Results & Conclusion
<Table 2> The summary of the means and the standard deviations of the differences from the two
experiments. The numbers are given in msec.
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Results & Conclusion
The automated identification of the boundary (labeled auto) between /s/ and /h/ in the phrase Miss
Henry produced by a female native speaker of English. The f and v represent the beginnings of /s/
and the vowel following /h/.
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References
[1] Boersma, Paul. 2001. Praat, a system for doing phonetics by computer. Glot International
5(9/10). pp.341-345.
[2] Yoon, Kyuchul. 2002. A production and perception experiment of Korean alveolar
fricatives. Speech Sciences. 9(3). pp.169-184.
[3] Yoon, Kyuchul. 2005. Durational correlates of prosodic categories: The case of two
Korean voiceless coronal fricatives. Speech Sciences. 12(1). pp.89-105.
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