Brian Gabelman

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Since 17 beta-estradiol (E2)-stimulated growth in human breast cancer cell lines has been shown to be accompanied by increased production of epidermal growth factor (EGF) and transforming growth factor-alpha (TGF-alpha) and their receptor, we investigated the effects of E2 and these growth factors on the growth of human breast epithelial cells (HBEC) in(More)
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)
Pathological voices are particularly difficult to inverse filter and fit with source models, in part, because of source-tract interactions inherent in these voice types. In order to obtain good synthetic copies of these voices, we need to know the practical importance of accurately inverse filtering and modeling individual voice sources. To this end, thirty(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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