- PII
- 10.31857/S0033849424040056-1
- DOI
- 10.31857/S0033849424040056
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 69 / Issue number 4
- Pages
- 339-347
- Abstract
- The problem of distortion of the autoregressive model of the voice signal under the influence of additive background noise in digital speech processing systems with data compression based on linear prediction is considered. In the frequency domain, these distortions are observed in the weakening of the main formants responsible for the intelligibility of the speaker’s speech. To compensate for formant attenuation, it is proposed to modify the parameters of the autoregressive model (linear prediction coefficients) using the impulse response of a recursive shaping filter. Along with the amplitude amplification of the formants, their frequencies remain unchanged to make the speaker’s voice recognizable. The effectiveness of the method was studied experimentally using specially developed software. Based on the experimental results, conclusions were drawn about a significant increase in the relative level of formants in the power spectrum of the corrected voice signal.
- Keywords
- теория сигналов голосовой сигнал цифровая обработка речи цифровая передача речи спектральный анализ спектральная плотность мощности дискретное спектральное моделирование авторегрессионная модель all-pole model
- Date of publication
- 17.09.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 14
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