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題 名 | 類神經網路及其模型在語音辨識中的檢討與適應 |
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作 者 | 劉振源; | 書刊名 | 東南學報 |
卷 期 | 17 1994.12[民83.12] |
頁 次 | 頁97-122 |
分類號 | 312.23 |
關鍵詞 | 語音知覺; 共振峰; 調音結合; 時間窗; 相互活性化; Speech perception; Formant; Coarticulation; Frame; Interactive activation; |
語 文 | 中文(Chinese) |
中文摘要 | 本論文首先透過論文中所參考的文獻,從聲音信息處理的角度上,來深入探討構 成類神經網路模型的理論依據,隨後在論述人類聽覺生理的諸特性對聲音信號的感知、反應 和處理的完整過程中,檢證了類神經網路模型在語音處理方面的可行性。進而設定了具體的 問題點,設計了類神經網路模型來進行時間序列模式的分析和聲音特徵的檢出實驗,並以獨 創性的手法,擴大了類神經網路模型的規模,而達到全子音的音韻認識及單語的識別。最後 ,以相互活性化模型在語音知覺過程中的實驗和對它的評價,作為本論文的總結。 |
英文摘要 | This paper, in the beginning, refers the articles listed in the biography in order to deeply research the theoretical foundations of Neural Network model from the view of speech signal processing. Accordingly, it describes the characteristics of the human hearing physiology in the entire sequence of detection, response and processing of the Neural Network model to process the speech information. The poten-tial problems of significance are thoroughly examined, and then the Neural Network model is designed for the analysis of the time sequence pattern and the experiment of the speech characteristic detection. The scale of the Neural Network model is further enlarged in an innovative way, so that the all-consonant-intonation can be recognized and the single words can be differentiated. Finally, the Interactive Activation model in tht experiment of the speech recognition process is forwarded, and its evaluation is weighed in the conclusion of the paper. |
本系統中英文摘要資訊取自各篇刊載內容。