An approach for formant based speech recognition in noise

Shaikh Anowarul Fattah, Tonmoy Ghosh, Rajib Goswami

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)


    In this paper, a noise robust formant frequency estimation scheme is developed utilizing the advantageous properties of the autocorrelation function of the band-limited noisy speech signal. It is shown that the use of autocorrelation operation on a speech signal, which is band-limited to a particular formant zone, in comparison to one without any band limitation, can provide higher noise immunity, especially under severe noisy condition. In order to extract each formant, a modified higher order Yule-Walker method is employed on the resulting autocorrelation sequence. Within a band, the pole with the maximum energy is selected as the formant. The estimated formants are used as features along with conventional Mel frequency cepstral coefficients in a vowel recognition system, where the linear discriminant based classifier is utilized. Extensive experimentation is carried out on speech samples taken from the TIMIT standard speech database. It is found that the proposed algorithm provides superior formant estimation accuracy in comparison to that obtained by some of the state of the art methods even at a very low level of signal-to-noise ratio (SNR) for both male and female speakers. Moreover, formant estimates obtained by the proposed method can also provide better vowel recognition accuracy in the presence of significant background noise.
    Original languageEnglish
    Title of host publicationTENCON 2012 IEEE Region 10 Conference
    Number of pages4
    ISBN (Electronic)978-1-4673-4824-9
    ISBN (Print)978-1-4673-4823-2, 978-1-4673-4822-5
    Publication statusPublished - 17 Jan 2013
    Event2012 IEEE Region 10 Conference: Sustainable Development Through Humanitarian Technology - Cebu, Philippines
    Duration: 19 Nov 201222 Nov 2012


    Conference2012 IEEE Region 10 Conference: Sustainable Development Through Humanitarian Technology
    Abbreviated title TENCON 2012


    • formant estimation
    • noise
    • higher order Yule-Walker equations
    • speech analysis
    • vowel recognition


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