A neural cocktail-party processor
Biological Cybernetics
Speech recognition in noisy environments with the aid of microphone arrays
Speech Communication
On the importance of time—a temporal representation of sound
Visual representations of speech signals
Speech analysis by means of a physiologically-based model of the cochlear nerve and cochlear nucleus
Visual representations of speech signals
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
A pitch determination and voiced/unvoiced decision algorithm for noisy speech
Speech Communication
Image segmentation based on oscillatory correlation
Neural Computation
Networks of spiking neurons: the third generation of neural network models
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
A prototype speech recognizer based on associative learning and nonlinear speech analysis
Computational auditory scene analysis
Spikes: exploring the neural code
Spikes: exploring the neural code
Handbook of Neural Computation
Handbook of Neural Computation
Pulsed Neural Networks
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Emergent neural computational architectures based on neuroscience: towards neuroscience-inspired computing
Spatio-Temporal Pattern Recognition with Neural Networks: Application to Speech
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
A maximum likelihood approach to single-channel source separation
The Journal of Machine Learning Research
Neural Systems as Nonlinear Filters
Neural Computation
Pitch and timbre manipulations using cortical representation of sound
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Joint acoustic and modulation frequency
EURASIP Journal on Applied Signal Processing
Separation of speech from interfering sounds based on oscillatory correlation
IEEE Transactions on Neural Networks
Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks
IEEE Transactions on Neural Networks
Monaural speech segregation based on pitch tracking and amplitude modulation
IEEE Transactions on Neural Networks
Text-independent speaker authentication with spiking neural networks
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Some notes on nonlinearities of speech
Nonlinear Speech Modeling and Applications
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Source separation and speech recognition are very difficult in the context of noisy and corrupted speech. Most conventional techniques need huge databases to estimate speech (or noise) density probabilities to perform separation or recognition. We discuss the potential of perceptive speech analysis and processing in combination with biologically plausible neural network processors. We illustrate the potential of such non-linear processing of speech on a source separation system inspired by an Auditory Scene Analysis paradigm. We also discuss a potential application in speech recognition.