Allpass Modeling of Phase Spectrum of Speech Signals for Formant Tracking

Vijayan, Karthika and Kodukula, Sri Rama Murty and Li, Haizhou (2019) Allpass Modeling of Phase Spectrum of Speech Signals for Formant Tracking. In: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 18-21 November 2019, Lanzhou; China.

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Formant tracking is a very important task in speech applications. Most of the current formant tracking methods bank on peak picking from linear prediction (LP) spectrum of speech, which suffers from merged/spurious peaks in LP spectra, resulting in unreliable formant candidates. In this paper, we present the significance of phase spectrum of speech in refining the formant candidates from LP analysis. The short-time phase spectrum of speech is modeled as phase response of an allpass (AP) system, where the coefficients of AP system are initialized with LP coefficients and estimated with an iterative procedure. This technique refines the initial formants from LP analysis using phase spectrum of speech through an AP analysis, thereby accomplishing fusion of information from magnitude and phase spectra. The group delay of the resultant AP system exhibits unambiguous peaks at formants and, delivers reliable formant candidates. The formant trajectories obtained by selection of formants from these candidates are reported to be more accurate than those obtained from LP analysis. The fused information from magnitude and phase spectra has rendered relative improvements of 25%, 15% and 18% in tracking accuracy of first, second and third formants, respectively, over those from magnitude spectrum alone.

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IITH Creators:
IITH CreatorsORCiD
Kodukula, Sri Rama Murty
Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN- 978-172813248-8
Uncontrolled Keywords: Allpass modeling, Formant tracking, Fusion of information, Phase spectrum
Subjects: Materials Engineering > Composite materials
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 24 May 2021 07:33
Last Modified: 24 May 2021 07:33
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