Automatic telephone speech identification - uses spectral analysis to identify key features of voice characteristics

摘要

An automatic spectral analysis is applied to telephene transmissions to identify the characteristics of normal speech from background noise and cross talk effects. The frequency spectrum for normal speech is in the range 3,00 to 3,400 Hz. A spectral analysis indicates a fundamental frequency (n Vo) and a harmonic (n Vo). In order to identify the speech signal a sample is examined to identify the harmonics, the peak amplitude values and an overall average amplitude value. If two sequential difference values are largely similar and this common value is not smaller than 75Hz or greater than about 350 Hz the maximum can be taken as spectral lines. The fundamental speech sound is classified as a characteristic voiced tone.