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A Study on the Importance of Formant Transitions for Stop-Consonant Classification in VCV Sequence
Type of publication: Conference paper
Citation: Chandrasekar_INTERSPEECH_2023
Publication status: Accepted
Booktitle: Interspeech
Year: 2023
Month: August
Publisher: ISCA
Location: Dublin, Ireland
Abstract: This study analyzes formant transitions in six English stop-consonants in vowel-consonant-vowel (VCV) sequences. We investigate whether natural speech preserves formant patterns, and if not, how it affects stop-consonant perception and automatic classification. We specifically ask three questions: 1) To what extent these formant transition patterns are preserved in naturally produced VCV sequences? 2) If not preserved, does it have any effect on the perception of the stop-consonant? 3) How does the classification of stop-consonants by automatic classifiers change when formant transition patterns are not preserved? We found that 33.56% of the corpus deviate from the formant transition pattern. The perception test reveals an Unweighted Average Recall (UAR) of 91.97% in identifying the stop-consonants in the VCV sequences when the pattern is not preserved compared to 93.54% when it is preserved. The best UAR from an automatic classifier is 68.35% and 77.5% in these two cases, respectively.
Keywords: Formant transitions, Speech Analysis, Stop-consonants
Projects EMIL
Authors Chandrasekar, Siddarth
Ramesh, Arvind
Purohit, Tilak
Ghosh, Prasanta Kumar
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Total mark: 0
  • Chandrasekar_INTERSPEECH_2023.pdf