izmertechИзмерительная техникаIzmeritel`naya Tekhnika0368-10252949-5237ФГУП "ВНИИФТРИ"10.32446/0368-1025it.2025-6-74-84izmertech-2414Research ArticleАКУСТИЧЕСКИЕ ИЗМЕРЕНИЯACOUSTIC MEASUREMENTSМетод измерения параметров голосового источника речи для систем кодирования речевого сигнала с линейным предсказаниемMethod for measuring voice source parameters for linear predictive speech coding systemshttps://orcid.org/0000-0003-3045-3337СавченкоВ. В.SavchenkoV. V.

Владимир Васильевич Савченко

Нижний Новгород

Vladimir V. Savchenko

Nizhny Novgorod

vvsavchenko@yandex.ruhttps://orcid.org/0000-0002-2776-5471СавченкоЛ. В.SavchenkoL. V.

Людмила Васильевна Савченко

Нижний Новгород

Lyudmila V. Savchenko

Nizhny Novgorod

vvsavchenko@yandex.ruНациональный исследовательский университет «Высшая школа экономики»РоссияNational Research University Higher School of EconomicsRussian Federation2025131220257467484Copyright © ФГУП "ВНИИФТРИ", 20252025ФГУП "ВНИИФТРИ"ФГУП "ВНИИФТРИ"https://www.izmt.ru/jour/about/submissions#copyrightNoticehttps://www.izmt.ru/jour/article/view/2414

В рамках актуального направления исследований в области акустических измерений – неинвазивного анализа голосового источника речи – рассмотрена задача измерения параметров и формы сигнала возбуждения вокодера с линейным предсказанием. Указано на острую проблему большой вычислительной сложности известных алгоритмов решения описанной задачи на основеметодики анализа через синтез. Вцелях преодоления данной проблемы разработан быстродействующий метод акустических измерений, базирующийся на критерии минимума среднего выборочного значения ошибки линейного предсказания. Показано, что данный критерий реализует принципминимизации энергозатрат диктора на речепроизводство. Рассмотрен пример технической реализации разработанного метода, даны оценки его вычислительной сложности. Показано, что по сравнению с известным методом многоимпульсного возбуждения вокодера с линейным предсказанием, в котором используются две адресные книги – адаптивная и стохастическая, затраты на техническую реализацию предложенного метода сокращаются в несколько десятков раз. Для подтверждения этого вывода с использованием авторского программного обеспечения поставлен и проведён натурный эксперимент на множестве гласных фонем контрольного диктора. Показано, что оптимизация формы сигнала возбуждения позволяет существенно уменьшить среднее выборочное значение ошибки линейного предсказания. Полученные результаты могут быть полезны при разработке новых имодернизации существующих системи технологий кодирования и синтеза речи, мобильной речевой связи и других приложений цифровой обработки речевого сигнала со сжатием данных на основе модели линейного предсказания.

In the context of the current direction of research in the fi eld of acoustic measurements – non-invasive analysis of the voice source – the problem of measuring excitation parameters for a vocoder with linear prediction is considered. The acute problem of high computational complexity of known methods of its solution based on the technique of “analysis by synthesis” is indicated. In order to overcome this problem, a high-speed acoustic measurement method has been developed based on the criterion of the minimum average sample value of the linear prediction error. It is shown that this criterion implements the principle of minimizing the energy consumption of the announcer for the speech production. An example of technical implementing the developed method is considered, and estimates of its computational complexity are given. It is shown that, compared to the well-known method of multi-pulse excitation of a linear prediction vocoder using two address books: adaptive and stochastic, the costs of implementation of the proposed method are reduced by several orders of magnitude. To confi rm this conclusion, a natural experiment was conducted using the author's software on a set of vowel phonemes from a control speaker. It is shown that by optimizing the excitation signal shape, the mean sample value of the linear prediction error is signifi cantly reduced. The obtained results can be useful in developing new and upgrading existing systems and technologies for speech coding and synthesis, mobile speech communication and other applications of digital speech signal processing with data compression based on the linear prediction model.

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The authors declare that there are no conflicts of interest present.