Anna Volkova

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OBJECTIVES This study examined the ability of prelingually deaf children with bilateral implants to identify emotion (i.e. happiness or sadness) in speech and music. METHODS Participants in Experiment 1 were 14 prelingually deaf children from 5-7 years of age who had bilateral implants and 18 normally hearing children from 4-6 years of age. They judged(More)
We evaluated 6- and 7-month-olds' preference and memory for expressive recordings of sung lullabies. In Experiment 1, both age groups preferred lower-pitched to higher-pitched renditions of unfamiliar lullabies. In Experiment 2, infants were tested after 2 weeks of daily exposure to a lullaby at one pitch level. Seven-month-olds listened significantly(More)
Cochlear implants have enabled many congenitally or prelingually deaf children to acquire their native language and communicate successfully on the basis of electrical rather than acoustic input. Nevertheless, degraded spectral input provided by the device reduces the ability to perceive emotion in speech. We compared the vocal imitations of 5- to(More)
The goal of the present study was to ascertain whether children with normal hearing and prelingually deaf children with cochlear implants could use pitch or timing cues alone or in combination to identify familiar songs. Children 4-7 years of age were required to identify the theme songs of familiar TV shows in a simple task with excerpts that preserved (1)(More)
OBJECTIVES Although the spectrally degraded input provided by cochlear implants (CIs) is sufficient for speech perception in quiet, it poses problems for talker identification. The present study examined the ability of normally hearing (NH) children and child CI users to recognize cartoon voices while listening to spectrally degraded speech. DESIGN In(More)
In this paper we address the problem of enabling simultaneous cooling and information exchange capabilities for board-to-board communications. We show that heat pipes, conventionally used for cooling of electronic equipment, can be efficiently applied for information transmission purposes at extremely high data rates. The latter is accomplished by using(More)
For successful involving of wood-fired cogeneration in Estonia it is important to define the most appropriate places, where the wood-fuel cogeneration plants can be located. The method used for defining the optimal location is based on the multi-criteria decision analysis (MCDA), which includes the Delphi method for criteria selection, the Analytic(More)
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