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Titlebook: Speaker Classification II; Selected Papers Christian Müller Book 2007 Springer-Verlag Berlin Heidelberg 2007 acoustic correlates.acoustiic

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Underpinning / nailon /: Automatic Estimation of Pitch Range and Speaker Relative Pitch,distributions; and (iii) the amount of voiced speech required to obtain a robust estimation of speaker relative pitch. In addition, we provide a hands-on description of how such an estimation can be obtained under real-time online conditions using /nailon/ – our software for online analysis of prosody.
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0302-9743 uistic experience and mental state. These speaker characteristics are found in speech at all levels of description: from the spectral information in the sounds to the choice of words and utterances themselves...This two volume set, LNAI 4343 and LNAI 4441, constitutes a state-of-the-art survey for t
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The Impact of Visual and Auditory Cues in Age Estimation,al and auditory cues compete with each other. We investigated this question in a series of five related experiments. In the first four experiments, subjects estimated the age of 14 female speakers, either from still pictures, an audio recording, a video recording without sound, or a video recording
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Real-Life Emotion Recognition in Speech,ion annotations have been done by two experts with twenty verbal classes organized in eight macro-classes. Two studies are reported in this paper with the four macro classes: Relief, Anger, Fear and Sadness: the first investigates automatic emotion detection using linguistic information whith a dete
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Automatic Classification of Expressiveness in Speech: A Multi-corpus Study,p of two databases contains adult speech directed to infants, while the second group contains adult speech directed to adults. We performed experiments with two approaches for feature extraction, the approach developed for Sony’s robotic dog AIBO (AIBO) and a segment based approach (SBA), and three
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Acoustic Impact on Decoding of Semantic Emotion,rance, and considers whether a speaker can hide their emotional state by acting an emotion even though being semantically honest. Three female and two male speakers of Swedish were recorded saying the sentences “Jag har vunnit en miljon pa° lotto” (I have won a million on the lottery), “Det finns bö
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Emotion from Speakers to Listeners: Perception and Prosodic Characterization of Affective Speech,ntaneous French corpus, for which a corresponding acted version has been built, shows that native listeners perceive the difference between acted and spontaneous emotions. The results of cross-linguistic perceptual studies indicate that emotions are perceived by listeners partly on the basis of pros
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