Maria Koutsogiannaki

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State of the art objective measures for quantifying voice quality mostly consider estimation of features extracted from the magnitude spectrum. Assuming that speech is obtained by exciting a minimum-phase (vocal tract filter) and a maximum-phase component (glottal source), the amplitude spectrum cannot capture the maximum phase characteristics. Since voice(More)
In this work we present " AlertMe " , a semantics-based, context-aware notification system that provides personalized alerts to graduate students based on their preferences. An extensive description of the system is carried out. We present the underlying ontology that models the available knowledge, as well as how higher level knowledge inference and(More)
In this paper, the problem of modifying casual speech to reach the intelligibility level of clear speech is addressed. Unlike other studies, in this work modifications on casual speech both consider intelligibility and speech quality. To achieve this, the authors focus on human-like modifications inspired by clear speech. An acoustic analysis performed on(More)
Clear speech has been shown to have an intelligibility advantage over casual speech in noisy and reverberant environments. This work validates spectral and time domain modifications to increase the intelligibility of casual speech in re-verberant environments by compensating particular differences between the two speaking styles. To compensate spectral(More)