查詢結果分析
相關文獻
- 使用容錯信號限制器作有噪音語音辨認的研究
- 肺部聲音辨認系統之研究
- 電腦聲音控制介面之研究
- An Overview of RNN-Based Mandarin Speech Recognition Approaches
- 淺談語音辨認
- 以「線性移動及動態時間歸正」語音辨認技術處理國音0-9 的辨認
- A Mandarin-syllable Signal Synthesis Method with Increased Flexibility in Duration, Tone and Timbre
- Speech Recognition Based on a Fuzzy System
- 利用類神經網路來處理與語者無關之中文辨識
- Effective Pronunciation Teaching--A Ready-For-Use Manual
頁籤選單縮合
題 名 | 使用容錯信號限制器作有噪音語音辨認的研究 |
---|---|
作 者 | 林持衡; 李錦輝; | 書刊名 | 電信研究 |
卷 期 | 19:4 1989.12[民78.12] |
頁 次 | 頁455-462 |
專 輯 | 語音辨認技術專輯.2 |
分類號 | 312.23 |
關鍵詞 | 信號; 限制器; 容錯; 語音; 噪音; 辨認; |
語 文 | 中文(Chinese) |
中文摘要 | 測試環境裡有噪音時,語音的辦認結果常不理想,原因是噪音增加了訓練音和測試音間的差異,解決方罄之一是減少語音特徵受噪音的影響。在本文中限制器(limiter)的理論和其能減少噪音造成的語音差異性的想法將作介紹。利用語音的自相關係數,經反正弦(arcsin)轉換,可達需要的限制器效果。用英文的字母和數字等作實驗,顯示用限制器作預處理器並用動態時間校準方法辦認,有噪音語音的辦認有顯著的改善。 |
英文摘要 | The performance of a speech recognizer is often degraded by noise, Part of the reason for this performance degradation is due to the fact that there is often a strong mismatch between the training and the testing conditions, i.e. the recognition features used in the training case are vastly different from the features used in the testing condition because of the effect of the noise. One way to circumvent this mismatch problem is to use features which are less susceptible to changing noise conditions. A family of robust signal limiters which reduce the variability of features in different noise conditions is proposed. The signal limiter, when properly scaled, is equivalent to reforming an arcsin transformation on the autocorrelation functions of the original signal. Testing on a 39-word English alpha-digit vocabulary, in a speaker trained mode, indicates that the recognition performance of a template-based DTW recognizer can be significantly improved in nosily conditions when the robust signal limiter is used as a pre-processor to rescue the variability of the features in strong mismatch condition. |
本系統中英文摘要資訊取自各篇刊載內容。