Title :
A novel scalable audio coder based on warped linear prediction and the wavelet transform
Author :
Deriche, Mohamed ; Ning, Daryl
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ., Dhahran, Saudi Arabia
Abstract :
The paper presents a novel bitstream scalable audio coder. In the proposed coder, the full bandwidth of input audio is first split into two. A hybrid WLPC-wavelet representation is used to encode the low frequency components (<; 11 kHz). In this method, the excitation to the WLPC synthesis filter is decomposed into subbands using a wavelet filterbank, and perceptually encoded. Two stage quantisation of the wavelet coefficients is used to provide scalability. The high frequency components of the input are assumed to be noisy, and efficiently encoded using an LPC noise model. The output bitstream can be decoded at rates between 16 kbps and 70 kbps. As the bitrate increases, so too does the signal quality. At 70 kbps, the quality is near transparent. At the intermediate rates, the coder gives comparable performance to the MPEG layer III coder, when the MPEG coder operates at a similar (but fixed) bitrate.
Keywords :
audio coding; channel bank filters; wavelet transforms; MPEG layer III coder; WLPC synthesis filter; WLPC-wavelet representation; scalable audio coder; warped linear prediction; wavelet filterbank; wavelet transform; Bandwidth; Bit rate; Discrete wavelet transforms; Encoding; Noise; Quantization; Transform coding;
Conference_Titel :
GCC Conference (GCC), 2006 IEEE
Conference_Location :
Manama
Print_ISBN :
978-0-7803-9590-9
Electronic_ISBN :
978-0-7803-9591-6
DOI :
10.1109/IEEEGCC.2006.5686171