Scalable and progressive audio codec
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Perceptually Motivated Sub-band Decomposition for FDLP Audio Coding
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Frequency domain linear prediction for QMF sub-bands and applications to audio coding
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Wide-band audio coding based on frequency-domain linear prediction
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on scalable audio-content analysis
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In this paper we present first experimental results with a novel audio coding technique based on approximating Hilbert envelopes of relatively long segments of audio signal in critical-band-sized sub-bands by autoregressive model We exploit the generalized autocorrelation linear predictive technique that allows for a better control of fitting the peaks and troughs of the envelope in the sub-band Despite introducing longer algorithmic delay, improved coding efficiency is achieved Since the described technique does not directly model short-term spectral envelopes of the signal, it is suitable not only for coding speech but also for coding of other audio signals.