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Method of encoding speech signals involving the extraction of speech formant candidates in real time

机译:实时提取语音共振峰候选者的语音信号编码方法

摘要

Method of encoding speech signals which is based upon determining the roots of the linear prediction polynomial describing the spectrum of an analog speech signal, wherein the roots are candidates in determining the formants of the speech signal. The method involves the analysis of respective frames of sampled digital speech data using a linear predictive technique to determine a set of reflection coefficients or K- parameters which are then converted into the equivalent predictor coefficients or A-parameters describing a prediction polynomial having a plurality of roots corresponding to the poles of an all-pole filter characterizing the vocal tract. A modified Bairstow technique is then empolyed for factoring out quadratic factors which are then sorted in an ordered arrangement in terms of ascending bandwidths. In performing the modified Bairstow technique, initial estimates of the successive quadratic factors for a current frame of digital speech data are made in sequence, and the prediction polynomial is successively deflated to a reduced order polynomial in determining the respective quadratic factors thereof. The initial estimate of the first quadratic factor is the same as the smallest bandwidth root as determined from the previous frame of digital speech data. These removed quadratic factors or roots are candidates for determining the formants of the speech signal.
机译:基于确定描述模拟语音信号频谱的线性预测多项式的根的编码语音信号的方法,其中,该根是确定语音信号共振峰的候选。该方法包括使用线性预测技术对采样的数字语音数据的各个帧进行分析,以确定一组反射系数或K参数,然后将其转换为等效预测系数或描述多个多项式的预测多项式的A参数。根对应于表征声道的全极点滤波器的极点。然后,为了将二次因子分解出来,采用了一种改良的Bairstow技术,然后将二次因子按照上升带宽按有序排列进行排序。在执行改进的Bairstow技术时,顺序地对数字语音数据的当前帧进行连续二次因子的初始估计,并且在确定其各个二次因子时,将预测多项式连续缩小为降阶多项式。第一二次因子的初始估计与从数字语音数据的前一帧确定的最小带宽根相同。这些去除的二次因子或根是确定语音信号共振峰的候选者。

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