Fuzzy Clustering Approach Using Data Fusion Theory and its Application To Automatic Isolated Word Recognition
نویسندگان
چکیده مقاله:
In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the proposed algorithms have better performance, compared to classical clustering.
منابع مشابه
Fuzzy Clustering Approach Using Data Fusion Theory and Its Application to Automatic Isolated Word Recognition
In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the ...
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عنوان ژورنال
دوره 16 شماره 4
صفحات 329- 336
تاریخ انتشار 2003-12-01
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