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THE METHOD OF PSYCHOACOUSTIC MODEL ADAPTATION TO WAVELET DOMAIN BASED ON QUANTIZATION MATRIX

Gleb G. Rogozinsky, The Bonch-Bruevich St.Petersburg State University of Telecommunications, St.Petersburg, Russia, gleb.rogozinsky@gmail.com
Daniel R. Fadeyev, The Bonch-Bruevich St.Petersburg State University of Telecommunications, St.Petersburg, Russia, daniilfadeev2015@yandex.ru
Alexander A. Fadeyev, The Bonch-Bruevich St.Petersburg State University of Telecommunications, St.Petersburg, Russia, daniilfadeev2015@yandex.ru
Anton V. Smirnov, Saint-Petersburg State Institute of Film and Television, St.Petersburg, Russia, kafsr@gukit.ru
Yulia I. Ivanova, The Bonch-Bruevich St.Petersburg State University of Telecommunications, St.Petersburg, Russia, kursivanova@yandex.ru

Abstract
The paper presents the authors’ recent research in adaptation of the psychoacoustic model of ISO MPEG AAC to the Discrete Wavelet Packet algorithm of lossy audio coding. Wavelet Transform-based digital audio compression possesses several advances in the context of compact representation of transients and non-harmonic components. Meanwhile, one of the well-known issues of application of wavelets for the audio compression is poor accuracy of existing psychoacoustic models obtained for wavelet domain. The authors discovered the complex distribution of wavelet coefficients quantization noise across the spectrum due to significant cross-band aliasing between wavelet decomposition tree subbands. The authors also obtained the wavelet quantization noise function related to the analysis bands of MPEG AAC Psychoacoustic Model. The described approach provided the method of quantization matrix calculation, which is useful for exact estimation of masking threshold during lossy wavelet coefficients coding. The obtained results allow increasing the accuracy of existing compression models based on wavelet transform, therefore gaining the efficiency of digital audio compression with reviewed transforms.

Keywords: lossy audio coding; wavelets, quantization, psychoacoustic model.

References

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  2. Rogozinsky G.G. Perceptual Audio Compression based on Wavelet Packets, Russian PhD Thesis, St.Petersburg State Institute of Film and Television, 2010. (in Russian)
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Information about authors:
Gleb G. Rogozinsky, Medialabs, The Bonch-Bruevich St.Petersburg State University of Telecommunications, St.Petersburg, Russia
Daniel R. Fadeyev, Department of Radiocommunications and Broadcasting, The Bonch-Bruevich St.Petersburg State University of Telecommunications, St.Petersburg, Russia
Alexander A. Fadeyev, Department of Radiocommunications and Broadcasting, The Bonch-Bruevich St.Petersburg State University of Telecommunications, St.Petersburg, Russia
Anton V. Smirnov, Department of Sound Production, Saint-Petersburg State Institute of Film and Television, St.Petersburg, Russia
Yulia I. Ivanova, Department of Radiocommunications and Broadcasting, The Bonch-Bruevich St.Petersburg State University of TelecommunicationsSt.Petersburg, Russia