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An adaptive method for measuring the pitch frequency using a two-level autoregressive of a speech signal
https://doi.org/10.32446/0368-1025it.2022-6-60-66
Abstract
The problem of determining the fundamental frequency of a speech signal in the presence of white Gaussian noise is considered. A new method for its measurement is proposed, which takes into account the periodic structure of the power spectrum of voiced speech frames and is based on the principle of harmonic energy accumulation in the frequency domain. For this purpose, a procedure for equalizing its spectral envelope was introduced into the speech signal processing algorithm using a two-level autoregressive observations model: within one and several periods of the fundamental tone. At the same time, the adaptation of the order of auto regression of the lower level to the observed frame is implemented. An example of the practical implementation of the adaptive method based on the Berg method is considered. With the use of author's software, an experiment was set up and carried out, and experimental estimates of the effectiveness of the new method were obtained. It is shown that, due to its adaptation, a gain in threshold signals of 5–10 dB is achieved.
Keywords
speech acoustics,
voice signal,
acoustic measurements,
autoregressive model,
a priori uncertainty,
adaptive approach
Supporting agencies: the work is supported by RSF (Russian Science Foundation) grant no. 20-71-10010.
About the Authors
A. V. Savchenko
National Research University Higher School of Economics
Russian Federation
Russian Federation
Andrey V. Savchenko
Nizhniy Novgorod
V. V. Savchenko
Nizhny Novgorod State Linguistic University
Russian Federation
Russian Federation
Vladimir V. Savchenko
Nizhniy Novgorod
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Review
For citations:
Savchenko A.V., Savchenko V.V. An adaptive method for measuring the pitch frequency using a two-level autoregressive of a speech signal. Izmeritel`naya Tekhnika. 2022;(6):60-66. (In Russ.) https://doi.org/10.32446/0368-1025it.2022-6-60-66
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