Brian Gabelman

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Vocal tremors characterize many pathological voices, but acoustic-perceptual aspects of tremor are poorly understood. To investigate this relationship, 2 tremor models were implemented in a custom voice synthesizer. The first modulated fundamental frequency (F0) with a sine wave. The second provided irregular modulation. Control parameters in both models(More)
FM and source noise characteristics of pathological voices are analyzed and modeled using precision interpolating pitch tracking. Detailed tracking data allows segregation of pitch variations into low frequency (tremor) and high frequency pitch variation (HFPV) time series. Tremor data is used to resample the original voice into a quasi-constant pitch(More)
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