ntvНаучно-технический вестник информационных технологий, механики и оптикиScientific and Technical Journal of Information Technologies, Mechanics and Optics2226-14942500-0373Университет ИТМО10.17586/2226-1494-2022-22-2-254-261ntv-135Research ArticleКОМПЬЮТЕРНЫЕ СИСТЕМЫ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИCOMPUTER SCIENCEИсследование эффективности шумоподавления при кодировании речевого сигнала без потерьResearch on the effectiveness of noise reduction when encoding a lossless speech signalhttps://orcid.org/0000-0002-3593-4298АкиланТ.AkilanT.

 Акилан Тамилсельван — M.E., доцент, доцент 

 Большая Нойда, 201310 

Tamilselvan Akilan — M.E, Assistant Professor 

 Greater Noida, 201310 

 sc 56801096100 

t.akilan@galgotiacollege.eduhttps://orcid.org/0000-0001-6040-8794РаджаЛ.RajaL.

 Раджа Лакшми — PhD, доцент, доцент 

 Коимбатур, 641021 

 sc 57197747072 

 Laxmi Raja — PhD, Assistant Professor 

 Coimbatore, 641021 

 sc 57197747072 

laxmirajaphd@gmail.comhttps://orcid.org/0000-0002-3144-2341ХарихаранУ.HariharanU.

 Харихаран Удхаякумар — PhD, доцент, доцент 

 Мохали, 140413 

 sc 57216226566 

 Udhayakumar Hariharan — PhD, Assistant Professor 

 Mohali, 140413 

 sc 57216226566 

hariharan.e11201@cumail.inИнженернотехнологический колледж ГалготиасаИндияGalgotias College of Engineering and TechnologyIndiaАкадемия высшего образования КарпагамаИндияKarpagam Academy of Higher EducationIndiaУниверситет ЧандигархаИндияChandigarh UniversityIndia202213122024222254261Copyright © Акилан Т., Раджа Л., Харихаран У., 20242024Акилан Т., Раджа Л., Харихаран У.Akilan T., Raja L., Hariharan U.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ntv.elpub.ru/jour/article/view/135

Кодирование речи — один из методов представления цифрового речевого сигнала с использованием малого числа битов, при этом возможно сохранить их качество и точность. В большинстве ситуаций шифрование и качество речи играют решающую роль в различных акустических системах кодирования. Предложен способ уменьшения занимаемой памяти, используемой речевыми данными с применением поддиапазона и алгоритма Хаффмана для речевых сигналов. Выделены значения амплитуды речевого сигнала после предварительной обработки, оконной обработки и применения методов декомпозиции. Полученные данные преобразованы в частотную область с использованием дискретного косинусного преобразования (Discrete Cosine Transform, DCT). Проведено кодирование методами Хаффмана 90 основных коэффициентов, содержащих наибольшее количество информации о речевых сигналах. Для восстановления исходной речи закодированный сигнал повторно преобразован в форму во временной области с применением обратного дискретного косинусного преобразования (Inverse Discrete Cosine Transform, IDCT). Выполнен эксперимент с речевыми данными с 16 битами по выборке на частоте 8 кГц. Величина показателя SNR (отношение сигнал/шум) показывает эффективность предлагаемого метода.

In the meantime, speech coding is one of the methods to represent the digital speech signal as in possible fewer bits value and to maintain the quality and its clearness. In omnipresent situations, encryption and examination of speech maintain a crucial role in various acoustic-based coding systems. This paper, using subband and Huffman coding technique, has been used for speech signals description to reduce the occupied by the speech data memory. The amplitude values of the taken speech are segregated after pre-processing, windowing and decomposition techniques. These data are converted into the frequency domain using discrete cosine transform (DCT). Then 90 foremost coefficients have been coded by Huffman method, they contain the most valuable information of speech signals. Signals are segregated then and subband coding techniques applied. To reconstruct the input speech, the taken speech is re-transformed in the form of time-domain applying through inverse discrete cosine transform (IDCT). This experiment is carried out by speech data at 8 kHz with 16 bits/per sample. The SNR (Signal to Noise Ratio) shows the efficiency of this applied technique.

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