Abstract

The goal of the paper is to use the MUSIC method to estimate the fundamental frequency of signals, and compare the results with the ones obtained by the DFT method. Real speech signals are considered in the paper. Lithuanian vowel sound fundamental frequency is estimated by the MUSIC and DFT methods.

Highlights

  • Estimation of a fundamental frequency is very important in many fields of speech signal processing such as speech coding, speech synthesis, speech and speaker recognition [1,9]

  • Estimation of the fundamental frequency is very important for synthesis of Lithuanian speech vowels since this frequency is the main parameter of the vowel models

  • It shows a frequency at which impulses must be given to the input of the synthesizer forming filter

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Summary

Introduction

Estimation of a fundamental frequency is very important in many fields of speech signal processing such as speech coding, speech synthesis, speech and speaker recognition [1,9]. The fundamental frequency is called the first harmonic. Often the sinusoid of the frequency fk = kf0 is itself called the kth harmonic of the signal y(t). In order to solve the problem of Lithuanian speech synthesis, it is necessary to develop mathematical models for Lithuanian speech sounds. The DFT method is usually used to estimate this frequency This method gives good results when the observed signal is sufficiently long. One of such algorithms is the so-called MUSIC method. Ishida applied the MUSIC method for the analysis of speech signals. The goal of this paper is to apply the MUSIC method for estimation of the fundamental frequency of the main Lithuanian vowels.

MUSIC method
Fundamental frequency estimation using the MUSIC method
Conclusions

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