This paper presents a new feature extraction algorithm called power normalized Cepstral
coefficients (PNCC) that is motivated by auditory processing. Major new features of PNCC …

A computational model of auditory analysis is described that is inspired by psychoacoustical
and neurophysiological findings in early and central stages of the auditory system. The …

▪ Abstract The history of cochlear implants is marked by large improvements in performance,
especially over the past two decades and especially due to the development of ever-better …

This paper presents a computational model to simulate normal and impaired auditory-nerve
(AN) fiber responses in cats. The model responses match physiological data over a wider …

A model of computational auditory signal-processing and perception that accounts for
various aspects of simultaneous and nonsimultaneous masking in human listeners is …

This paper presents the application of Neural Network Bottleneck (BN) features in Language
Identification (LID). BN features are generally used for Large Vocabulary Speech …

Two new approaches to the design of speech processors for cochlear implants are
described. The first aims to represent “fine structure” or “fine frequency” information in a way …

A single-microphone noise suppression algorithm is described that is based on a novel
approach for the estimation of the signal-to-noise ratio (SNR) in different frequency …

The temporal response of auditory-nerve (AN) fibers to a steady-state vowel is investigated
using a computational auditory-periphery model. The model predictions are validated …

The transformation of acoustical signals into auditory sensations can be characterized by
psychophysical quantities such as loudness, tonality, or perceived pitch. The resolution …