Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Embedded audio coding (EAC) with implicit auditory masking
Proceedings of the tenth ACM international conference on Multimedia
Sinusoidal modeling using frame-based perceptually weighted matching pursuits
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Joint optimization of scale factors and Huffman code books for MPEG-4 AAC
IEEE Transactions on Signal Processing
A Dynamic Fine-Grain Scalable Compression Scheme With Application to Progressive Audio Coding
IEEE Transactions on Audio, Speech, and Language Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
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We present strategies for perceptual improvements of embedded audio coding based on psychoacoustic weighting and spectral envelope restoration. The encoding schemes exhibit fine-grain bitrate scalability via the set partitioning in hierarchical trees (SPIHT) algorithm. Weighting factors and envelope parameters are transmitted under careful consideration of the amount of side information. For low bitrates, where the number of actually transmitted waveform coefficients is low. missing coefficients are shaped w.r.t. the spectral envelope. In our approach. the envelope information is transmitted in form of band-wise values of the l1-norm. Sets of standardized audio files as well as various audio data of contemporary music are encoded and the results are analyzed with objective measures of perceptual quality. The proposed coding scheme competes in perceptual quality with existing state-of-the-art fixed bitrate coders such as MPEG-2/4 AAe. For low bitrates. the proposed embedded coding envelope restoration (ECER) improves the perceptual audio quality notably.