Norma Antonanzas-Barroso

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A new descriptive framework for voice quality perception (Kreiman, Gerratt, Kempster, Erman, & Berke, 1993) states that when listeners rate a voice on some quality dimension (e.g., roughness), they compare the stimulus presented to an internal standard or scale. Hypothetically, substituting explicit, external standards for these unstable internal standards(More)
PURPOSE Many researchers have studied the acoustics, physiology, and perceptual characteristics of the voice source, but despite significant attention, it remains unclear which aspects of the source should be quantified and how measurements should be made. In this study, the authors examined the relationships among a number of existing measures of the(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)
This paper describes a computer assisted method of teaching profoundly deaf children to speak, which employs the unique feature of an integrated text-to-speech system (TTS). Our earlier speech training system presented a series of speech parameters, derived from articulatory instruments and acoustic analysis, in a visual form. In that system, teacher's(More)
Our previous attempts at synthesizing severely pathological voices were hampered by perceptually-significant errors in vowel quality. To determine whether these were caused by methodological limitations or by source-tract interactions, normai and pathological voices were recorded using both a condenser microphone and a flow mask system. Synthetic versions(More)
To determine the perceptual importance of differences in noise characteristics, a sample of pathological voices was modeled using analysis by synthesis techniques. Spectral characteristics of noise were varied to create different synthetic versions of each voice sample. Expert listeners compared each synthetic stimulus to the original voice sample. The(More)
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