Pitch estimation using mutual information
نویسندگان
چکیده
A spectrotemporal method based on Mutual Information (MI) is proposed for pitch estimation of voiced speech signals. We use MI as the similarity measure between voiced speech segments and their delayed version. Instead of measuring linear dependencies, MI measures statistical dependency, which suits the dynamic characteristic of speech signals. Besides, higher-order statistics are directly encoded in the MI while they are not usually taken into account in traditional correlation-based measures. Through experiments on both synthetic signals and a real speech dataset, this new measure is proven to be effective for pitch estimation.
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