Research on the effectiveness of noise reduction when encoding a lossless speech signal
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....
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| Format: | Article |
| Language: | English |
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Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
2022-04-01
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| Series: | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| Subjects: | |
| Online Access: | https://ntv.ifmo.ru/file/article/21123.pdf |
| _version_ | 1818522582195896320 |
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| author | Tamilselvan Akilan Laxmi Raja Udhayakumar Hariharan |
| author_facet | Tamilselvan Akilan Laxmi Raja Udhayakumar Hariharan |
| author_sort | Tamilselvan Akilan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T05:35:12Z |
| format | Article |
| id | doaj.art-40bc3f1d3bf14282a281ac7e089da10a |
| institution | Directory Open Access Journal |
| issn | 2226-1494 2500-0373 |
| language | English |
| last_indexed | 2024-12-11T05:35:12Z |
| publishDate | 2022-04-01 |
| publisher | Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) |
| record_format | Article |
| series | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| spelling | doaj.art-40bc3f1d3bf14282a281ac7e089da10a2022-12-22T01:19:18ZengSaint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki2226-14942500-03732022-04-0122225426110.17586/2226-1494-2022-22-2-254-261Research on the effectiveness of noise reduction when encoding a lossless speech signalTamilselvan Akilan0https://orcid.org/0000-0002-3593-4298Laxmi Raja1https://orcid.org/0000-0001-6040-8794Udhayakumar Hariharan2https://orcid.org/0000-0002-3144-2341M.E, Assistant Professor, Galgotias College of Engineering and Technology, Greater Noida, 201310, India, sc 56801096100PhD, Assistant Professor, Karpagam Academy of Higher Education, Coimbatore, 641021, India, sc 57197747072PhD, Assistant Professor, Chandigarh University, Mohali, 140413, India, sc 57216226566In 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.https://ntv.ifmo.ru/file/article/21123.pdfdecompositionidctdcthuffmansnrsubbandquantizationwindowing |
| spellingShingle | Tamilselvan Akilan Laxmi Raja Udhayakumar Hariharan Research on the effectiveness of noise reduction when encoding a lossless speech signal Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki decomposition idct dct huffman snr subband quantization windowing |
| title | Research on the effectiveness of noise reduction when encoding a lossless speech signal |
| title_full | Research on the effectiveness of noise reduction when encoding a lossless speech signal |
| title_fullStr | Research on the effectiveness of noise reduction when encoding a lossless speech signal |
| title_full_unstemmed | Research on the effectiveness of noise reduction when encoding a lossless speech signal |
| title_short | Research on the effectiveness of noise reduction when encoding a lossless speech signal |
| title_sort | research on the effectiveness of noise reduction when encoding a lossless speech signal |
| topic | decomposition idct dct huffman snr subband quantization windowing |
| url | https://ntv.ifmo.ru/file/article/21123.pdf |
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