Scalable Audio Coding using the Oversampled Discrete Wavelet Transform and Temporal Masking

Author

Sinaga, Ferdinan ; Gunawan, Teddy Surya ; Ambikairajah, Eliathamby

Author_Institution

Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW

fYear

0

fDate

0-0 0

Firstpage

191

Lastpage

194

Abstract

In this paper, we propose a low-complexity scalable audio coding algorithm using an over sampled discrete wavelet transform (ODWT). The aliased free coefficients obtained are then used to accurately calculate the forward temporal masking threshold. The algorithm based on the bandwidth scalability, uses bits per sub-band and bits per frame, as outlined in this paper. Subjective tests conforming to ITU-R BS.1116 for audio signals show that the audio signals coded at 32 and 64 kbits/s using an ODWT with temporal masking offered a better audio quality compared to the critically sampled DWT

Keywords

audio coding; discrete wavelet transforms; hearing; signal sampling; 32 kbits/s; 64 kbits/s; ITU-R BS.1116; ODWT; bandwidth scalability; oversampled discrete wavelet transform; scalable audio coding algorithm; temporal masking; Audio coding; Audio compression; Bandwidth; Bit rate; Decoding; Discrete wavelet transforms; Masking threshold; Personal communication networks; Scalability; Wavelet coefficients; auditory masking; oversampled discrete wavelel transform; scalable audio coding; temporal masking;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2005 Fifth International Conference on

Conference_Location

Bangkok

Print_ISBN

0-7803-9283-3

Type

conf

DOI

10.1109/ICICS.2005.1689032

Filename

1689032