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Summary: ANALYSIS BY SYNTHESIS OF FM MODULATION AND
ASPIRATION NOISE COMPONENTS IN
PATHOLOGICAL VOICES
Brian Gabelman and Abeer Alwan
Department of Electrical Engineering, UCLA
Los Angeles 90095, USA
Gabelman@ucla.edu, alwan@icsl.ucla.edu
ABSTRACT
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 signal, which
results in a more accurate source noise estimate using the noise
analysis algorithm described by de Krom [1]. Gaussian
distributions are used for both source HFPV and aspiration
noise models. Combined analysis parameters are used to drive a
formant synthesizer, resulting in improved perceived fidelity.
1. INTRODUCTION
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