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arXiv · 1712.08034

On the Use of a Spectral Glottal Model for the Source-filter Separation of Speech

Olivier Perrotin·Ian Vince McLoughlin
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Abstract

The estimation of glottal flow from a speech waveform is a key method for speech analysis and parameterization. Significant research effort has been made to dissociate the first vocal tract resonance from the glottal formant (the low-frequency resonance describing the open-phase of the vocal fold vibration). However few methods cope with estimation of high-frequency spectral tilt to describe the return-phase of the vocal fold vibration, which is crucial to the perception of vocal effort. This paper proposes an improved version of the well-known Iterative Adaptive Inverse Filtering (IAIF) called GFM-IAIF. GFM-IAIF includes a full spectral model of the glottis that incorporates both glottal formant and spectral tilt features. Comparisons with the standard IAIF method show that while GFM-IAIF maintains good performance on vocal tract removal, it significantly improves the perceptive timbral variations associated to vocal effort.

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Olivier Perrotin, Ian Vince McLoughlin. 2017-12-21. On the Use of a Spectral Glottal Model for the Source-filter Separation of Speech. https://doi.org/10.1109/icassp.2019.8682625

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