Multi Lingual Speaker Identification on Foreign Languages Using Artificial Neural Network with Clustering
نویسنده
چکیده
The Speech is most prominent and primary mode of communication among of human being. The communication among human computer interaction is called human computer interface. Speech has potential of being important mode of interaction with computer. This paper describes a method for text based speech identification system based on Artificial Neural Network that identifies speech in Indian as well as in Foreign Languages. Our database contain one sentence with different foreign languages i.e. French, Finnish, Catalan, Italian, Portuguese, Indonesian, English, Hindi spoken by different speakers in each languages by both male and female. To increase the performance mainly uses the “Fuzzy K-Mean Clustering “algorithm & the average performance of the system is 96%..
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Multi Lingual Speaker Identification on Foreign Languages using Artificial Neural Network
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