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改進(jìn)LVAMDF及綜合多因素基音檢測算法
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(西南科技大學(xué) 計算機科學(xué)與技術(shù)學(xué)院,四川 綿陽(yáng) 621010) 

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薛帥強(1989-),男,河南省原陽(yáng)縣人,碩士研究生,主要從事語(yǔ)音信號處理方向的研究。 陳 波(1963-),男,博士,教授,主要從事圖像處理、嵌入式技術(shù)方向的研究。

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四川省教育廳重點(diǎn)項目(ZD1109); 綿陽(yáng)市網(wǎng)絡(luò )融合工程實(shí)驗室開(kāi)放基金項目(12ZXWK11)。


Improved Algorithm of Length Varied Average Magnitude Difference Function(LVAMDF) and Comprehensive Multi-factor for Pitch Frequency Detection
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(School of Computer Science and Technology,Southwest University of Science and Technology, Mianyang 621010,China)

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    摘要:

    在對語(yǔ)音信號靜音、清音、濁音劃分的基礎上,針對語(yǔ)音信號周期特征明顯段分布隨機性問(wèn)題,提出改進(jìn)的變長(cháng)度平均幅度差函數LVAMDF及綜合多因素基音檢測算法,該算法對語(yǔ)音信號進(jìn)行周期特征明顯段和周期特征不明顯段的聚類(lèi)劃分,同時(shí),獲取周期特征明顯語(yǔ)音段的所有基音周期的起止端點(diǎn),針對少數基音周期劃分倍頻或半頻問(wèn)題,提出識別、修正方法,其識別、修正率極高;在對大量真實(shí)語(yǔ)音處理中,能夠精確地檢測出語(yǔ)音特征明顯段的基音周期端點(diǎn),基本沒(méi)有倍頻和半頻劃分,并且和AMDF、ACF算法作了對比。

    Abstract:

    On the basis of the methodology that categorizes speech signal into three types,silence,voiceless sound,voiced sound,in view of the random distribution of obvious periodic property speech,the improved algorithm of length varied average magnitude difference function (LVAMDF) and comprehensive multi-factor for pitch frequency detection is put forward to categorize voiced sound into two types,one is obvious periodic property speech,the other one is unobvious periodic property speech. At the same time,the starting and ending points of all accurate pitch period in the obvious periodic property speech is achieved. For a few pitch periods divided into frequency doubling or half frequency,the recognition and correction method is proposed which has a high recognition and correction rate. Finally,in a large amount of the real speech processing experiments,the method can detect the pitch period in the obvious periodic property speech accurately,and there is hardly frequency doubling and half frequency. The results show that the proposed algorithm performs much better on pitch detection compared with AMDF and ACF.

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薛帥強,陳波,陳菲.改進(jìn)LVAMDF及綜合多因素基音檢測算法計算機測量與控制[J].,2016,24(4):253-256.

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  • 收稿日期:2015-11-02
  • 最后修改日期:2015-11-26
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  • 在線(xiàn)發(fā)布日期: 2016-07-27
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