Performance Evaluation of Audio Coding by Amalgam AAC and FLAC Audio codec using MDCT and INTMDCT Algorithm

• Autorzy: Dhas M. Davidson Kamala , Priyadharsini R.

Identyfikatory

DOI

10.24425/ijet.2019.129810

• Języki publikacji: EN

Abstrakty

EN

The MDCT and IntMDCT Algorithm is widely utilized is Audio coding. By lifting scheme or rounding operation IntegerMDCT is evolved from Modified Discrete Cosine Transform. This method acquire the properties of MDCT and contribute excelling invertiblity and good spectral mean. In this paper we discuss about the audio codec like AAC and FLAC using MDCT and Integer MDCT algorithm and to find which algorithm shows better Compression Ratio(CR). The confines of this task is to hybriding lossy and lossless audio codec with diminished bit rate but with finer sound quality. Certainly the quality of the audio is figure out by Subjective and Objective testing which is in terms of MOS (Mean opinion square), ABx and some of the hearing aid testing methodology like PEAQ (Perceptual Evaluation Audio Quality) and ODG (Objective Difference Grade)is followed. Execution measure, that is Compression Ratio(CR) and Sound Pressure Level (SPL) is approximated.

Słowa kluczowe

EN

audio codec; advanced audio coding; AAC; free lossless audio codec; FLAC; modified discrete cosine transform; MDCT; integer modified discrete cosine transform; IMDCT; mean opinion square; MOS; perceptual evaluation audio quality; PEAQ

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2019
• Tom: Vol. 65, No. 3
• Strony: 533--539
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Dhas M. Davidson Kamala

• ECE, Mepco Schlenk Engineering College, Sivakasi, India

autor

Priyadharsini R.

• ECE, Mepco Schlenk Engineering College, Sivakasi, India

Bibliografia

• [1] Ralf Geiger, Jurgen Herre, et al., “Int-MDCT- a link between perceptual and lossless Audio Coding”, IEEE Trans. Sig. Process., vol.52, no.9, Oct 2004.
• [2] Yoshikazu Yokotani, Ralf Geiger, Gerald Schuller, Soontorn Oraintara and K. R. Rao, “Lossless Audio Coding Using the Int MDCT and Rounding Error Shaping” IEEE Transactions on Speech and Audio Processing, submitted: October 2004, revised: july 2005.
• [3] Ralf Geiger, Thomas Sporer, Jurgen Koller, Karlheinz Brandenburg, “Audio Coding based on Integer Transforms”.
• [4] Yoshikazu Yokotani and Soontorn Oraintara, “Lossless Audio Compression Using Integer Modified Discrete Cosine Transform” International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2003) Awaji Island, Japan, December 7-10, 2003.
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• [6] Dissertation zur Erlangung des akademischen Grades Doktor Ingenieur, “Audio Coding Based on Integer Transforms”.
• [7] Yoshikazu Yokotani, Ralf Geiger, et al.,“ Lossless audio coding using the Int-MDCT and Rounding Error Shaping”, IEEE Trans. Signal. Process, vol.16, no.2, Feb.2006.
• [8] Huang HaiBin, RAHARDJA Susanto, YU Rongshan, LIN Xiao, “A Fast Algorithm of Integer MDCT for Lossless Audio Coding”.
• [9] Rongshan Yu, Susanto Rahardja, et al.“A Fine Granular Scalable to Lossless Audio Coder”, IEEE Trans. Audio, Speech, Lang. Process, vol. 14, no.4, Dec. 2006.
• [10] Ralf Geiger, Jurgen Herre, et al., “Fine grain scalable perceptual and lossless audio coding based on Int-MDCT”, IEEE Trans. Signal. Process., vol.16, no.2, Feb.2005.
• [11] Te Li, Susanto Rahardja, et al., “On Integer MDCT for Perceptual Audio Coding”, IEEE Trans. Audio, Speech, Lang. Process., vol.15, no.8, Nov. 2007.
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• [14] Rajesh Kumar, “Comparison of Subjective and Objective Speech Quality Assessment for Different Degradation and Noise Conditions”, International Conference on Signal Processing and Communication, vol. 14 March 2015, pp 261-266.
• [15] X. Maitre, “7 kHz audio coding within 64 kbits/s” IEEE Journal on Selected Areas in Communication Vol.6 no.2, February 1988.
• [16] P. Kabal, “An Examination and Interpretation of ITU-R BS: 1387 Perceptual Evaluation of Audio Quality”, Telecommunication and Signal Processing Laboratory.
• [17] Jürgen Herre and Martin Dietz,“ Mpeg-4 High-Efficiency AAC coding”
• [18] Rainer Huber and Birger Kollmeier, PEMO-Q—A New Method for Objective Audio Quality Assessment Using a Model of Auditory Perception, IEEE Transactions on Audio, Speech, and Language Processing, Vol. 14, no. 6, November 2006

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).