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A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications

Auditory models are commonly used as feature extractors for automatic speech-recognition systems or as front-ends for robotics, machine-hearing and hearing-aid applications. Although auditory models can capture the biophysical and nonlinear …

Automated speech analysis to improve TMS-based language mapping: Algorithm and proof of concept

Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint

Exemplar-based nonnegative models, where the noisy speech is decomposed as a sparse nonnegative linear combination of the speech and noise exemplars stored in a dictionary, have been successfully used for speech denoising. This paper extends this …

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition

Exemplar-based speech enhancement systems work by decomposing the noisy speech as a weighted sum of speech and noise exemplars stored in a dictionary and use the resulting speech and noise estimates to obtain a time-varying filter in the …