Joint acoustic and modulation frequency
EURASIP Journal on Applied Signal Processing
Progressive syntax-rich coding of multichannel audio sources
EURASIP Journal on Applied Signal Processing
Time-frequency coherent modulation filtering of nonstationary signals
IEEE Transactions on Signal Processing
Autoregressive models of amplitude modulations in audio compression
IEEE Transactions on Audio, Speech, and Language Processing
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
Speech coding based on spectral dynamics
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
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A source coding technique for variable, bandwidth-constrained channels such as the Internet must do two things: offer high quality at low data rates, and adapt gracefully to changes in available bandwidth. Here we propose an audio coding algorithm that is superior on both counts. It is inherently scalable, meaning that channel conditions can be matched without the need for additional computation. Moreover, it is compact: in subjective tests our algorithm, coded at 32 kb/s/channel, outperformed MPEG-1 Layer 3 (MP3) coded at 56 kb/s/channel (both at 44.1 kHz). We achieve this simultaneous increase in compression and scalability through use of a two-dimensional transform that concentrates relevant information into a small number of coefficients.