Paper Info
Title
Speech Data Corpus for Verbal Intelligence Estimation
Abstract
The goal of our research is the development of algorithms for automatic estimation of a person's verbal intelligence based on the analysis of transcribed spoken utterances. In this paper we present the corpus of German native speakers' monologues and dialogues about the same topics collected at the University of Ulm, Germany. The monologues were descriptions of two short films; the dialogues were discussions about problems of German education. The data corpus contains the verbal intelligence quotients of each speaker, which were measured with the Hamburg Wechsler Intelligence Test for Adults. In this paper we describe our corpus, why we decided to create it, and how it was collected. We also describe some approaches which can be applied to the transcribed spoken utterances for extraction of different features which could have a correlation with a person's verbal intelligence. The data corpus consists of 71 monologues and 30 dialogues (about 10 hours of audio data).
Year
Venue
Field
2010
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Speech corpus,Wechsler Adult Intelligence Scale,Computer science,Speech recognition,Natural language processing,Artificial intelligence,Verbal reasoning,Linguistics,German
DocType
Citations 
PageRank 
Conference
5
0.96
References 
Authors
1
3
Name
Order
Citations
PageRank
Kseniya Zablotskaya1114.66
Steffen Walter212713.34
Wolfgang Minker3619108.61