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The voice samples are pre-processed in R applying acoustic Examination, then processed with AI/ML algorithms to master gender-precise features for categorizing the voice as male or feminine.
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The foremost intention of the study is to acknowledge and extract sentiments from many different audio information which make up human speech.
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