<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>Datos de Investigación(ICC)</title>
<link>http://hdl.handle.net/11336/134259</link>
<description>Datos de Investigación de INSTITUTO DE INVESTIGACION EN CIENCIAS DE LA COMPUTACION</description>
<pubDate>Sat, 15 Jun 2024 02:46:38 GMT</pubDate>
<dc:date>2024-06-15T02:46:38Z</dc:date>
<item>
<title>Epa-DB: a database for the development of pronunciation scoring systems</title>
<link>http://hdl.handle.net/11336/150678</link>
<description>Epa-DB: a database for the development of pronunciation scoring systems
Epa-DB es una base de datos diseñada para el desarrollo y evaluación de sistemas de calificación de la pronunciación. Contiene 3200 frases fonéticamente balanceadas en idioma inglés de hablantes argentinos en proceso de aprendizaje.Cada frase está anotada a nivel alófono por dos anotadores expertos. Las frases fueron grabadas en las computadoras de los participantes para imitar el entorno de uso esperable para los sistemas que se desea desarrollar.
</description>
<guid isPermaLink="false">http://hdl.handle.net/11336/150678</guid>
</item>
<item>
<title>Trust-UBA: Detecting trust from the trustor's voice</title>
<link>http://hdl.handle.net/11336/150676</link>
<description>Trust-UBA: Detecting trust from the trustor's voice
The protocol of the dataset consists of an interactive session where the subject is asked to respond to a series of factual questions with the help of a virtual assistant. In order to induce subjects to either trust or distrust the agent's skills, they are first informed that it was previously rated by other users as being either good or bad; subsequently, the agent answers the subjects' questions consistently to its alleged abilities. All interactions are speech-based, with subjects and agents communicating verbally, which allows the recording of speech produced under different trust conditions.
</description>
<guid isPermaLink="false">http://hdl.handle.net/11336/150676</guid>
</item>
</channel>
</rss>
