Comparison of three methods of extracting resonance information from predictor coefficient coded speech

Abstract

Three methods of extracting resonance information for speech from predictor coefficients are compared. The methods are finding roots of the polynomial in the denominator of the transfer function using Newton iteration, picking peaks in the spectrum of the transfer function, and picking peaks in the negative of the second derivative of the spectrum. A relationship was found between the bandwidth of a resonance and the magnitude of the second derivative peak. Data, accumulated from a total of about two minutes of running speech from both female and male talkers, are presented illustrating the relative effectiveness of each method in locating resonances. The second-derivative method was shown to locate about 98% of the significant resonances while the simple peak-picking method located about 85%.