Speech Analysis and Synthesis by Linear Prediction of the Speech Wave
Speech Analysis and Synthesis by Linear Prediction of the Speech Wave
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发表时间：
2000
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通讯作者：
L. H. Anauer
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作者：
L. H. Anauer
我们描述了一种通过将语音波表示为与声道传递函数和激励特性相关的时变参数来对语音波进行有效编码的过程。通过将当前语音样本预测为12个先前样本的线性组合来分析以10 kHz采样的语音波。通过最小化语音样本的实际值和预测值之间的均方误差来确定12个预测值CoE。15个参数--即，12个预测值、基音周期、指示语音是浊音还是清音的二进制参数、以及语音样本的均方根值--通过对语音波的分析而得到，并被编码并发送到合成器。语音波被合成为由准周期脉冲序列或写入噪声源激励的线性递归滤波器的输出。讨论了这种有效传输和存储语音信号的方法的应用，以及用于确定其他语音特性的过程，例如共振峰频率和带宽、频谱包络和自相关函数。
We describe a procedure for efficient encoding of the speech wave by representing it in terms of time-varying parameters related to the transfer function of the vocal tract and the characteristics of the excitation. The speech wave, sampled at 10 kHz, is analyzed by predicting the present speech sample as a linear combination of the 12 previous samples. The 12 predictor coe are determined by minimiaing the mean-squared error between the actual and the predicted values of the speech samples. Fifteen parametek-namely, the 12 predictor coethcienta, the pitch period, a binary parameter indicating whether the speech is voiced or unvoiced, and the rms value of the speech samples-are derived by analysis of the speech wave, encoded and transmitted to the synthesizer. The speech wave is synthesized as the output of a linear recursive filter excited by either a sequence of quasiperiodic pulses or a wbite-noise source. Application of this method for efficient transmission and storage of speech signals as well as procedures for determining other speech characteristics, such as formant frequencies and bandwidths, the spectral envelope, and the autocorrelation function, are discussed.