Multirate systems and filter banks
Multirate systems and filter banks
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Matching Pursuit With Damped Sinusoids
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Audio representations for data compression and compressed domain processing
Audio representations for data compression and compressed domain processing
A perceptually based audio signal model with application to scalable audio compression
A perceptually based audio signal model with application to scalable audio compression
Psychoacoustics: Facts and Models
Psychoacoustics: Facts and Models
Low bit rate high quality audio coding with combined harmonic and wavelet representations
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
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
Perceptual coding of audio signals using adaptive time-frequency transform
EURASIP Journal on Audio, Speech, and Music Processing
Adaptive signal modeling based on sparse approximations for scalable parametric audio coding
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Multizone Speech Reinforcement
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
An overview of digital speech watermarking
International Journal of Speech Technology
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Psychoacoustical models have been used extensively within audio coding applications over the past decades. Recently, parametric coding techniques have been applied to general audio and this has created the need for a psychoacoustical model that is specifically suited for sinusoidal modelling of audio signals. In this paper, we present a new perceptual model that predicts masked thresholds for sinusoidal distortions. The model relies on signal detection theory and incorporates more recent insights about spectral and temporal integration in auditory masking. As a consequence, the model is able to predict the distortion detectability. In fact, the distortion detectability defines a (perceptually relevant) norm on the underlying signal space which is beneficial for optimisation algorithms such as rate-distortion optimisation or linear predictive coding. We evaluate the merits of the model by combining it with a sinusoidal extraction method and compare the results with those obtained with the ISO MPEG-1 Layer I-II recommended model. Listening tests show a clear preference for the new model. More specifically, the model presented here leads to a reduction of more than 20% in terms of number of sinusoids needed to represent signals at a given quality level.