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    Ensemble learning of hybrid acoustic features for speech emotion recognition 

    Zvarevashe, Kudakwashe; Olugbara, Oludayo (MDPI, 2020-03)
    Automatic recognition of emotion is important for facilitating seamless interactivity between a human being and intelligent robot towards the full realization of a smart society. The methods of signal processing and ...
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    The role of knowledge management systems on the export performance of manufacturing firms: Evidence from Zimbabwe 

    Tarambiwa, Edmore; Mafini, Chengedzai (Social Sciences Research Society, 2017)
    There is a general acceptance that Knowledge Management Systems (KMS) are a primary source of value and have taken a center stage in the definition, operation and performance of most business organisations. However, ...
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    Recognition of cross-language acoustic emotional valence using stacked ensemble learning 

    Zvarevashe, Kudakwashe; Olugbara, Oludayo O (MDPI, 2020-09)
    Most of the studies on speech emotion recognition have used single-language corpora, but little research has been done in cross-language valence speech emotion recognition. Research has shown that the models developed ...

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    AuthorZvarevashe, Kudakwashe (2)Mafini, Chengedzai (1)Olugbara, Oludayo (1)Olugbara, Oludayo O (1)Tarambiwa, Edmore (1)Subjectcorporate performance (1)deep learning (1)developing countries (1)emotion recognition (1)ensemble algorithm (1)feature elimination (1)feature extraction (1)Knowledge management (1)machine learning (1)manufacturing sector (1)... View MoreDate Issued2020 (2)2017 (1)Full Text
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