<学術雑誌論文>
Fast Speaker Identification using Recursive Word Sample Attributes

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概要 Voice identification is the process to identify a human, based on his/her voice. In this paper, we propose a voice identification system using a technology of 5-Means Clustering approach on both Bandw...idth and Formants Ratio. At first, the PRAA database is trained by these methods, this method has used five clustered for bandwidth and also formants ratio. These clusters are classified on the behalf of fuzzy members, and thereafter each and every cluster of bandwidth and formants ratio are combined in different type of combinations. In the testing section, voice samples taken from speakers are compared with these combinations. These systems make them provided fast voice identification process. The Experiment result of the proposed work is achieved more than 98% of Identification Rate.続きを見る

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登録日 2024.07.12
更新日 2024.07.16

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