TY - GEN
T1 - Machine learning techniques for the identification of cues for stop place
AU - Plauché, Madelaine C.
AU - Sönmez, Kemal
N1 - Funding Information:
This work was funded by the NSF Grant 9817243 and by the NSF-STIMULATE Grant IRI-9619921. The views herein are those of the authors and do not necessarily reflect those of the funding agencies.
PY - 2000
Y1 - 2000
N2 - This paper is situated in a long line of phonetic studies that seek to determine and qualify the acoustic cues humans use to identify stop place. The present study draws from a database of 1500 CV tokens of American English and their values for the acoustic features thought to be cues for stop place identification, including (1) VOT, (2) energy of the burst and release, (3) spectrum at the burst, and (4) formant transitions into the following vowel. Decision trees are used to determine the relative invariance of these acoustic features, which indicates their potential to serve as useful cues for listeners cross-contextually. Decision trees thus allow the evaluation of vocalic effects on this hierarchy of features for the purpose of guiding classic perceptual confusion studies.
AB - This paper is situated in a long line of phonetic studies that seek to determine and qualify the acoustic cues humans use to identify stop place. The present study draws from a database of 1500 CV tokens of American English and their values for the acoustic features thought to be cues for stop place identification, including (1) VOT, (2) energy of the burst and release, (3) spectrum at the burst, and (4) formant transitions into the following vowel. Decision trees are used to determine the relative invariance of these acoustic features, which indicates their potential to serve as useful cues for listeners cross-contextually. Decision trees thus allow the evaluation of vocalic effects on this hierarchy of features for the purpose of guiding classic perceptual confusion studies.
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M3 - Conference contribution
AN - SCOPUS:85009100578
T3 - 6th International Conference on Spoken Language Processing, ICSLP 2000
BT - 6th International Conference on Spoken Language Processing, ICSLP 2000
PB - International Speech Communication Association
T2 - 6th International Conference on Spoken Language Processing, ICSLP 2000
Y2 - 16 October 2000 through 20 October 2000
ER -