Age and gender classification from speech using decision level fusion and ensemble based techniques
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چکیده
In this contribution to INTERSPEECH 2010 Paralinguistic Challenge we explore the capabilities of decision level fusion and ensemble based techniques for classification tasks on the provided AGENDER corpus. Ensemble members are generated by providing multiple feature sets generated by feature selection, and novel fusion methods (developed in order to give special support to under-represented classes) are applied for decision making. Results are compared to standard classification approaches and possible benefits are discussed.
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تاریخ انتشار 2010