A perceptual model for sinusoidal audio coding based on spectral integration
EURASIP Journal on Applied Signal Processing
Perceptual coding of audio signals using adaptive time-frequency transform
EURASIP Journal on Audio, Speech, and Music Processing
Bark scale-based perceptual matching pursuit for improving sinusoidal audio modeling
Digital Signal Processing
Wavelet-based approach for transient modeling with application to parametric audio coding
Digital Signal Processing
Fine-grain scalable audio coding based on envelope restoration and the SPIHT algorithm
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Adaptive signal modeling based on sparse approximations for scalable parametric audio coding
IEEE Transactions on Audio, Speech, and Language Processing
Music scene-adaptive harmonic dictionary for unsupervised note-event detection
IEEE Transactions on Audio, Speech, and Language Processing
Auditory-inspired sparse representation of audio signals
Speech Communication
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We propose a method for sinusoidal modeling that takes into account the psychoacoustics of human hearing using a frame-based perceptually weighted matching pursuit. Working on blocks of the input signal, a set of sinusoidal components for each block is iteratively extracted taking into consideration perceptual significance by using extensions to the well known matching pursuits algorithm. These extensions allow including information about the time-varying masking threshold of the input signal during the pursuit. The blocks overlap-add together to reconstruct the entire signal. Although the perceptually weighted matching pursuit on each block can iterate until the error between the original and the reconstructed signal is zero, lower order approximations are possible by stopping the pursuit when the error becomes imperceptible to the human ear or by stopping the pursuit after a number of the perceptually most significant sinusoidal elements are found. The proposed sinusoidal model finds use in many applications including signal modifications and compression.