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@INPROCEEDINGS{Chandrasekar_INTERSPEECH_2023,
                      author = {Chandrasekar, Siddarth and Ramesh, Arvind and Purohit, Tilak and Ghosh, Prasanta Kumar},
                    keywords = {Formant transitions, Speech Analysis, Stop-consonants},
                    projects = {EMIL},
                       month = aug,
                       title = {A Study on the Importance of Formant Transitions for Stop-Consonant Classification in VCV Sequence},
                   booktitle = {Proceedings of Interspeech},
                        year = {2023},
                   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.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2023/Chandrasekar_INTERSPEECH_2023.pdf}
}