Detail Performance of a Backpropagation Neural Network in Diagnostic Rhyme Test Word Recognition (in SIMULATION 1998; 70; 167) Bibliografi Author: Tsang, Chit-Sang ; Villamar, Carlos R. Topik: Neural Networks; Backpropagation; Speech Recognition; Diagnostic Rhyme Test; DRT Bahasa: (EN )     Penerbit: SAGE Publications     Tempat Terbit: London    Tahun Terbit: 1998     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: 167[1].pdf (594.21KB; 0 download) Abstract This paper investigates isolated speakerdependent word recognition of Diagnostic Rhyme Test words using a backpropagation neural network classifier. The performance of K-nearest neighbors and closest-class-mean classifiers are compared for several signalto-noise ratios. The test and training data consisted of 40 frames of weighted eighthorder cepstral coefficients extracted from each word utterance. The neural network classifier correctly classified more than 92% of 2,400 testing examples not contained in the training data for the noise-free case. This performance was better than that of the K-nearest neighbor classifier, which was greater than 83%, and that of the closest class mean classifier, which was greater than 85%. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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