Voice compression using discrete cosine transform and wavelet transform
Compressing information, such as voice, allows freeing up memory space, better utilizing bandwidth, in other words taking advantage of resources more efficiently in a time where technologies such as Voice over Internet Protocol are booming and the demand for information it requires higher speeds and...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9232
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9232
- Palabra clave:
- Application programs
Discrete cosine transforms
MATLAB
Mean square error
Signal to noise ratio
Voice/data communication systems
Matlab- software
Memory space
Output signal
Voice compression
Voice over Internet protocol
Voice signals
Wavelet transforms
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Voice compression using discrete cosine transform and wavelet transform |
| title |
Voice compression using discrete cosine transform and wavelet transform |
| spellingShingle |
Voice compression using discrete cosine transform and wavelet transform Application programs Discrete cosine transforms MATLAB Mean square error Signal to noise ratio Voice/data communication systems Matlab- software Memory space Output signal Voice compression Voice over Internet protocol Voice signals Wavelet transforms |
| title_short |
Voice compression using discrete cosine transform and wavelet transform |
| title_full |
Voice compression using discrete cosine transform and wavelet transform |
| title_fullStr |
Voice compression using discrete cosine transform and wavelet transform |
| title_full_unstemmed |
Voice compression using discrete cosine transform and wavelet transform |
| title_sort |
Voice compression using discrete cosine transform and wavelet transform |
| dc.contributor.editor.none.fl_str_mv |
Suarez E.G. Diaz B.Z. Nino E.D.V. |
| dc.subject.keywords.none.fl_str_mv |
Application programs Discrete cosine transforms MATLAB Mean square error Signal to noise ratio Voice/data communication systems Matlab- software Memory space Output signal Voice compression Voice over Internet protocol Voice signals Wavelet transforms |
| topic |
Application programs Discrete cosine transforms MATLAB Mean square error Signal to noise ratio Voice/data communication systems Matlab- software Memory space Output signal Voice compression Voice over Internet protocol Voice signals Wavelet transforms |
| description |
Compressing information, such as voice, allows freeing up memory space, better utilizing bandwidth, in other words taking advantage of resources more efficiently in a time where technologies such as Voice over Internet Protocol are booming and the demand for information it requires higher speeds and quality. Therefore, this paper presents the acquisition and digital processing of voice signals, as well as the application of the discrete cosine transform and the wavelet transform using Matlab software version 2017b, licensed by the Technological University of Bolivar. Likewise, a criterion is established in order to eliminate little relevant information without affecting the quality of the output signal for which indicators such as the signal to noise ratio and the mean square error are calculated. © Published under licence by IOP Publishing Ltd. |
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2019 |
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2019 |
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2020-03-26T16:41:23Z |
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2020-03-26T16:41:23Z |
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Conferencia |
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Rolon-Heredia J.A., Garrido-Arevalo V.M. y Marulanda J. (2019) Voice compression using discrete cosine transform and wavelet transform. Journal of Physics: Conference Series; Vol. 1403, Núm. 1 |
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17426588 |
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https://hdl.handle.net/20.500.12585/9232 |
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10.1088/1742-6596/1403/1/012001 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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Rolon-Heredia J.A., Garrido-Arevalo V.M. y Marulanda J. (2019) Voice compression using discrete cosine transform and wavelet transform. Journal of Physics: Conference Series; Vol. 1403, Núm. 1 17426588 10.1088/1742-6596/1403/1/012001 Universidad Tecnológica de Bolívar Repositorio UTB 57212451504 57212456661 57205051983 |
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https://hdl.handle.net/20.500.12585/9232 |
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eng |
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eng |
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20 August 2019 through 21 August 2019 |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional |
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openAccess |
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Recurso electrónico |
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Institute of Physics Publishing |
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Suarez E.G.Diaz B.Z.Nino E.D.V.Rolon-Heredia J.A.Garrido Arévalo, Víctor ManuelMarulanda J.2020-03-26T16:41:23Z2020-03-26T16:41:23Z2019Rolon-Heredia J.A., Garrido-Arevalo V.M. y Marulanda J. (2019) Voice compression using discrete cosine transform and wavelet transform. Journal of Physics: Conference Series; Vol. 1403, Núm. 117426588https://hdl.handle.net/20.500.12585/923210.1088/1742-6596/1403/1/012001Universidad Tecnológica de BolívarRepositorio UTB572124515045721245666157205051983Compressing information, such as voice, allows freeing up memory space, better utilizing bandwidth, in other words taking advantage of resources more efficiently in a time where technologies such as Voice over Internet Protocol are booming and the demand for information it requires higher speeds and quality. Therefore, this paper presents the acquisition and digital processing of voice signals, as well as the application of the discrete cosine transform and the wavelet transform using Matlab software version 2017b, licensed by the Technological University of Bolivar. Likewise, a criterion is established in order to eliminate little relevant information without affecting the quality of the output signal for which indicators such as the signal to noise ratio and the mean square error are calculated. © Published under licence by IOP Publishing Ltd.Recurso electrónicoapplication/pdfengInstitute of Physics Publishinghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076680661&doi=10.1088%2f1742-6596%2f1403%2f1%2f012001&partnerID=40&md5=8c438b85ddd01ac34924b3d5f18fa115Scopus2-s2.0-850766806611st Workshop on Modeling and Simulation for Science and Engineering, WMSSE 2019Voice compression using discrete cosine transform and wavelet transforminfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fApplication programsDiscrete cosine transformsMATLABMean square errorSignal to noise ratioVoice/data communication systemsMatlab- softwareMemory spaceOutput signalVoice compressionVoice over Internet protocolVoice signalsWavelet transforms20 August 2019 through 21 August 2019Qian, Y., Chen, W., (2017) 9th International Conference on Communication Software and Networks (ICCSN), p. 1047Parkale, Y.V., Nalbalwar, S.L., Application of 1 D discrete wavelet transform based compressed sensing matrices for speech compression (2016) Springer Plus, 5 (1), p. 1Sheikh, J.A., Parah, S.A., Akhtar, S., Bhat, G.M., Compression and denoising of speech transmission using Daubechies wavelet family (2017) Int. J. Wireless and Mobile Computing, 12 (4), p. 313Ram, R., Mohnaty, M.N., Enhancement of speech using deep neural network with discrete cosine transform (2018) Journal of Intelligent & Fuzzy Systems, 35 (1), p. 141Sheikh, J.A., On the design and performance evaluation of dwt based compressed speech transmission with convolutional coding (2016) Communications on Applied Electronics, 4 (9), p. 36Sheikh, J.A., Akhtar, S., Realization and performance evaluation of new hybrid speech compression technique (2016) International Journal of Modern Electronics and Communication Engineering, 4, p. 16Viga, R., Chauhanb, S., Speech compression using multi-resolution hybrid wavelet using DCT and Walsh transforms (2018) Procedia Computer Science, 132, p. 1404Gibson, J.D., Review speech compression (2016) Information, 7 (2), p. 32Tun, H.M., Moe, W.K., Naing, Z.M., Analysis on ECG data compression using wavelet transform technique (2017) International Journal of Psychological and Brain Sciences, 2 (6), p. 127Soliman, N.F., Abd-Alhalem, S.M., El-Rahman, S.A., Fouad, M., Abd El-Samie, F., Speech transmission with COFDM based on different discrete transforms (2016) International Journal of Speech Technology, 19 (3), p. 565Wang, S., Suppression by selecting wavelets for feature compression in distributed speech recognition (2018) IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26 (3), p. 564Mohammed, A.Z., A new algorithm for compression of ECG signals based on mother wavelet parameterization and best-threshold levels selection (2013) Digital Signal Processing, 23 (3), p. 1002Navarrete Mejía, M., Andrade Mora, S., (2006) Análisis y Tratamiento de la Señal Electrocardiográfica Para la Detección de Parámetros de Normalidad Bajo la Plataforma Labview "adpan-Ecg", p. 26Faundez, P., (2000) Procesamiento Digital de Señales Acústicas Utilizando Wavelets, p. 59Cabrera, M., Pérez, A., (2005) Análisis de Señales Biomédicas Mediante Transformada Wavelethttp://purl.org/coar/resource_type/c_c94fORIGINALdoi1010881742659614031012001.pdfapplication/pdf804938https://repositorio.utb.edu.co/bitstream/20.500.12585/9232/1/doi1010881742659614031012001.pdf7ef2a897a1d589c4231a11b5bd6e4b10MD51TEXTdoi1010881742659614031012001.pdf.txtdoi1010881742659614031012001.pdf.txtExtracted texttext/plain15828https://repositorio.utb.edu.co/bitstream/20.500.12585/9232/4/doi1010881742659614031012001.pdf.txt5ec151fa6b163f7d9c8962df69dad96dMD54THUMBNAILdoi1010881742659614031012001.pdf.jpgdoi1010881742659614031012001.pdf.jpgGenerated Thumbnailimage/jpeg27700https://repositorio.utb.edu.co/bitstream/20.500.12585/9232/5/doi1010881742659614031012001.pdf.jpg9c3be6b9afe8e715bd9a54622c89657bMD5520.500.12585/9232oai:repositorio.utb.edu.co:20.500.12585/92322023-05-26 10:06:38.473Repositorio Institucional UTBrepositorioutb@utb.edu.co |