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Presented paper deals with problems related to automatic recognition of expressive speech states. The analysis was performed using the Slovene part of the emotional speech corpus recorded under the international project Interface. The main focuses of presented emotional multi-level based feature extraction method are not the emotions itself but rather three expressive states: positive, negative and...
In this paper we present research work that was carried out on Slovenian BNSI Broadcast News database regarding the speech bandwidth classification. Speech recorded in studio environment has frequency bandwidth of 8 kHz, while speech recorded over telephone channel has the bandwidth of 3.1 kHz. Speech bandwidth classification enables us to use separate speech models for automatic speech recognition...
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