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In recent years, corpus phonetics has become a rapidly expanding field.However, the lack of appropriate tools for automatic acoustic analysis hinders further development of the field.In this paper, we present a methodological study on the automatic extraction of vowel formants using both robust linear predictive coding (RLPC; Lee, 1988) and dynamic formant tracking (Talkin, 1987).Acoustic data were taken from the Buckeye corpus of English conversations.We varied two aspects of the analysis -preemphasis and LPC order -to optimize formant tracking results by speaker and vowel.We also show, based on the optimal results, the distribution of ten English vowels in the F1/F2 space in conversational speech.
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