Stop consonant classification by dynamic formant trajectory

Yanli Zheng, Mark Hasegawa-Johnson, Sarah Borys

Research output: Contribution to conferencePaper

Abstract

LPC analysis is one of the most powerful techniques in speech analysis. Spectral zeros during consonant or consonant-vowel transition regions introduce difficulties in estimating LPC parameters. In this paper, we propose to estimate formant frequencies from LPC model by MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques). Formant candidates estimated by LS (Least Square), MUSIC and ESPRIT are combined to find an optimal solution. The effectiveness of this algorithm is verified by place classification task of stop consonants.

Original languageEnglish (US)
Pages2481-2484
Number of pages4
StatePublished - Jan 1 2004
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
Duration: Oct 4 2004Oct 8 2004

Other

Other8th International Conference on Spoken Language Processing, ICSLP 2004
CountryKorea, Republic of
CityJeju, Jeju Island
Period10/4/0410/8/04

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ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Cite this

Zheng, Y., Hasegawa-Johnson, M., & Borys, S. (2004). Stop consonant classification by dynamic formant trajectory. 2481-2484. Paper presented at 8th International Conference on Spoken Language Processing, ICSLP 2004, Jeju, Jeju Island, Korea, Republic of.