We tested the ability of humans and machines (data mining techniques) to assign stress to Slovene words. The goal of finding good machine-made models for stress assignment was set by applying new methods and by making use of a known theory about rules for stress assignment in Slovene. The upgraded data mining methods outperformed expert-defined rules on practically all subtasks, thus showing that data mining can more than compete with humans when constructing formal knowledge about stress assignment is concerned.
COBISS.SI-ID: 22516263
Quality of the voice communication channel and the perceived voice quality is very important during voice recording in the forensic investigation. In this paper we present voice quality measurements based on Personal Evaluation of Speech Quality algorithm (PESQ) in fixed and mobile telephony. The results of the PESQ measurements will enable development of the slovenian language speech corpora for further research and evaluation of the forensic speaker recognition systems.
COBISS.SI-ID: 22104871