Statistical spectral analysis: a nonprobabilistic theory
Statistical spectral analysis: a nonprobabilistic theory
The Modulation Spectrogram: In Pursuit of an Invariant Representation of Speech
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Perceptually inspired signal processing strategies for robust speech recognition in reverberant environments
Scalable and progressive audio codec
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Estimation of modulation based on FM-to-AM transduction: two-sinusoid case
IEEE Transactions on Signal Processing
Towards low-power on-chip auditory processing
EURASIP Journal on Applied Signal Processing
Source separation with one ear: proposition for an anthropomorphic approach
EURASIP Journal on Applied Signal Processing
A physiologically inspired method for audio classification
EURASIP Journal on Applied Signal Processing
An overview of text-independent speaker recognition: From features to supervectors
Speech Communication
IEEE Transactions on Multimedia
Temporal modulation normalization for robust speech feature extraction and recognition
Multimedia Tools and Applications
Automatic speech emotion recognition using modulation spectral features
Speech Communication
Modulation-domain Kalman filtering for single-channel speech enhancement
Speech Communication
Artist filtering for non-western music classification
Proceedings of the 6th Audio Mostly Conference: A Conference on Interaction with Sound
Perceptive, non-linear speech processing and spiking neural networks
Nonlinear Speech Modeling and Applications
Modulation domain blind speech separation in noisy environments
Speech Communication
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There is a considerable evidence that our perception of sound uses important features which are related to underlying signal modulations. This topic has been studied extensively via perceptual experiments, yet there are few, if any, well-developed signal processing methods which capitalize on or model these effects. We begin by summarizing evidence of the importance of modulation representations from psychophysical, physiological, and other sources. The concept of a two-dimensional joint acoustic and modulation frequency representation is proposed. A simple single sinusoidal amplitude modulator of a sinusoidal carrier is then used to illustrate properties of an unconstrained and ideal joint representation. Added constraints are required to remove or reduce undesired interference terms and to provide invertibility. It is then noted that the constraints would be also applied to more general and complex cases of broader modulation and carriers. Applications in single-channel speaker separation and in audio coding are used to illustrate the applicability of this joint representation. Other applications in signal analysis and filtering are suggested.