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題 名 | A Two-Stage Algorithm for Mandarin Consonant Recognition=兩階段演算法之中文聲母語音辨認 |
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作 者 | 林明灶; | 書刊名 | 德霖學報 |
卷 期 | 22 2008.06[民97.06] |
頁 次 | 頁1-15 |
分類號 | 312.85 |
關鍵詞 | 中文聲母辨認; 聲母分類; 樣本比較; Mandarin consonant recognition; Consonant classification; Pattern comparison; |
語 文 | 英文(English) |
中文摘要 | 在聲母辨認方面,鑑於各聲母特性差異頗大,以單一特徵參數及單一樣型比對法不易達成高辨認率,因 此我們設計了一個二階段聲母辨認法。第一階段先執行聲母分類,我們依國音聲母的語音及聲學特性將 其分為七類,並選定六種時域及頻域特徵參數據以設計輸入語音與各聲母類別間的距離度量法則。實驗 結果顯示以本方法判定的前二排名聲母類別含正確選擇者高達97.9%。第二階段再以選定的前二排名聲母 類別為候選進行個別聲母辨認,我們以倒頻係數(Cepstral Coefficients)為特徵參數,再以連續隱藏式馬可 夫模型(Continuous Hidden Markov Model, CHMM)或分段機率模型(Segmental Probability Model, SPM)作 樣型比對。實驗結果顯示使用前述二法的平均辨認正確率相當,均達 89.2%,但 SPM 僅需約1/8 的計 算量。此外,相對於不經第一階段聲母分類而逕行以第二階段步驟直接進行聲母辨認,我們所提出的二 階段聲母辨認法不但辨認正確率提高近3%,計算時間亦可節省12%以上。 |
英文摘要 | A two-stage algorithm with multiple features for Mandarin consonant recognition was proposed. We classified Mandarin consonant into seven classes, each with similar phonetic and acoustic characteristics. In the first stage of the proposed algorithm, consonant classification was conducted by computing features to construct mixture density models for each feature and for each consonant class, and then we defined for the decision making of consonant classification. Our multi-speaker experiments showed that a high correct percentage (97.9% for the top two selections) could be achieved in our first-stage consonant classification. In the second stage, with the selected top two consonant classes as candidates, detailed consonant recognition is performed by feature extraction of cepstral coefficients followed by the pattern comparison using the continuous hidden Markov model (CHMM) or the segmental probability model (SPM). The experimental results showed that both SPM and CHMM can achieve comparable accuracy percentage of 89.2%, but the SPM requires only about 1/8 processing time. Furthermore, the proposed two-stage algorithm is superior to the one-stage algorithm (omitting the first stage) by about 3% accuracy rate increasing and 12% processing time saving. |
本系統中英文摘要資訊取自各篇刊載內容。