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The method of pitch frequency detection on the base of tuning to its harmonics

机译:基于谐波调谐的基音频率检测方法

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The major part of speech compression algorithms from the first simple formant vocoders to widely used at presence LP- and MBE-vocoders in spite of different principals of coding use by the analysis-synthesis procedures information about the frequency of pitch [1-3]. There is a number of methods for its detection [4-6] : on the base of auto-correlation processing, cepstrum analysis, after linear prediction remaining signal. The methods provide good results when analysing parts of speech with pronounced vocalisation by insignificant noise level. When there is a strong noise component in the input signal the number of errors and accuracy of pitch frequency detection is greatly increased [7]. To eliminate the errors they use generally either method of linear smoothing of pitch contour that additionally decrease the accuracy. The paper presents the method and algorithm of pitch frequency detection which doesn't provide gross errors and lias the high accuracy.
机译:语音压缩算法的主要部分,从最初的简单共振峰声码器到在场LP和MBE声码器,尽管有关音高频率的分析合成过程信息使用的编码原理不同,但仍广泛使用[1-3]。有多种检测方法[4-6]:基于自相关处理,倒频谱分析,线性预测剩余信号后进行检测。当通过微不足道的噪声水平分析具有明显发声的语音部分时,该方法可提供良好的结果。当输入信号中有很强的噪声成分时,音调频率检测的错误数量和精度会大大提高[7]。为了消除误差,他们通常使用螺距轮廓的线性平滑方法中的任一种,这会进一步降低精度。提出了音调频率检测的方法和算法,该方法和算法不会产生较大的误差,并且具有较高的精度。

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