Abstract
Although data model and quantization have been discussed in detail in the earlier chapters as the tool for effectively removing perceptual irrelevance, a question still remains as to which part of the source signal is perceptually irrelevant. Feasible answers to this question obviously depend on the underlying application. For audio coding, perceptual irrelevance is ultimately determined by the human ear, so perceptual models need to be built that mimic the human auditory system so as to indicate to an audio coder which parts of the source audio signal are perceptually irrelevant, hence can be removed without audible artifacts.
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References
Aertsen, A.M.H.J., Johannesma, P.I.M.: Spectro-temporal receptive fields of auditory neurons in the grassfrog. Biological Cybernetics 38, 223–234 (1980)
Glasberg, B.R., Moore, B.C.: Derivation of auditory filter shapes from notched-noise data. Hearing Research 47, 103–138 (1990)
Hall, J.L.: Auditory psychophysics for coding applications. In: V.K. Madisetti, D. Williams (eds.) The Digital Signal Processing Handbook, pp. 39.1–39.25. CRC, Boca Raton (1997)
Hellman, R.: Asymmetry of masking between noise and tone. Perception and Psychophysics 11, 241–246 (1972)
Jayant, N., Johnston, J., Safranek, R.: Signal compression based on models of human perception. Proceedings of the IEEE 81, 1385–1422 (1993)
Johnston, J.D.: Transform coding of audio signals using perceptual noise criteria. IEEE Journal on Selected Areas in Communications 6(2), 314–323 (1988)
Miller, G.A.: Sensitivity to changes in the intensity of white noise and its relation to masking and loudness. Journal of the Acoustical Society of America 19, 609–619 (1947)
Moore, B.C.: An Introduction to the Psychology of Hearing. Academic, London (1997)
MPEG: Coding of moving pictures and associated audio for digital storage media at up to about 1.5 Mbit/s – Part 3: Audio, vol. 11172-3. ISO/IEC (1993)
MPEG: Information technology: Generic coding of moving pictures and associated audio information Part 7: Advanced Audio Coding (AAC), vol. 13818-7. ISO/IEC (2006)
Oppenheim, A.V., Schafer, R.W., Yoder, M.T., Padgett, W.T.: Discrete-Time Signal Processing. Prentice-Hall, New Jersey (2009)
Patterson, R.D.: Auditory filter shapes derived with noise stimuli. Journal of the Acoustical Society of America 59(3), 640–654 (1976)
Patterson, R.D., Allerhand, M., Giguere, C.: Time-domain modeling of peripheral auditory processing: A modular architecture and software platform. Journal of the Acoustical Society of America 98(4), 1890–1894 (1995)
Patterson, R.D., Moore, B.C.J.: Auditory filters and excitation patterns as representations of frequency resolution. In: B.C.J. Moore (ed.) Frequency Selectivity in Hearing, pp. 123–177. Academic, London (1986)
Patterson, R.D., Nimmo-Smith, I., Weber, D.L., Milroy, R.: The deterioration of hearing with age: Frequency selectivity, the critical ratio, the audiogram, and speech threshold. Journal of the Acoustical Society of America 72(6), 1788–1803 (1982)
Schroeder, M.R., Atal, B.S., Hall, J.L.: Optimizing digital speech coders by exploiting masking properties of the human ear. Journal of the Acoustical Society of America 66(6), 1647–1652 (1979)
Terhardt, E.: Calculating virtual pitch. Hearing research 1(1(2)), 155–182 (1979)
Zwicker, E.: Subdivision of the audible frequency range into critical bands. Journal of the Acoustical Society of America 33(2), 248–248 (1961)
Zwicker, E., Fastl, H.: Psychoacoustics: Facts and Models. Springer, Berlin (1999)
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You, Y. (2010). Perceptual Model. In: Audio Coding. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1754-6_10
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DOI: https://doi.org/10.1007/978-1-4419-1754-6_10
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