A processing scheme for speech signals is proposed that emulates synchrony capture in the auditory nerve. The role of stimulus-locked spike timing is important for representation of stimulus periodicity, low frequency spectrum, and spatial location. In synchrony capture, dominant single frequency components in each frequency region impress their time structures on temporal firing patterns of auditory nerve fibers with nearby characteristic frequencies (CFs). At low frequencies, for voiced sounds, synchrony capture divides the nerve into discrete CF territories associated with individual harmonics. An adaptive, synchrony capture filterbank (SCFB) consisting of a fixed array of traditional, passive linear (gammatone) filters cascaded with a b...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
Many speech enhancement algorithms suffer from musical noise – an estimation residue noise consistin...
We present a model for tone-in-noise detection at low frequencies that includes a physiologically re...
We propose a novel algorithm for tracking multiple sinusoidal signals that is motivated by neural co...
The mammalian auditory system is a more robust and versatile sound analyzer than any artificial syst...
The mammalian auditory system is a more robust and versatile sound analyzer than any artificial syst...
The question of how harmonic sounds produce strong, low pitches at their fundamental frequencies, f0...
This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signa...
A neural model of peripheral auditory processing is described and used to separate features of coart...
This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signa...
Using the human auditory system as a guide we propose a signal processing strategy for decomposing c...
• Explore the brain code: synchronization and sequence of spikes for signal processing & recogni...
From physiology we learn that the auditory system extracts simultaneous features from the underlying...
Ribbon-class synapses in the ear achieve analog to digital transformation of a continuously graded m...
This paper describes the development of an auditory filterbank to perform the initial frequency anal...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
Many speech enhancement algorithms suffer from musical noise – an estimation residue noise consistin...
We present a model for tone-in-noise detection at low frequencies that includes a physiologically re...
We propose a novel algorithm for tracking multiple sinusoidal signals that is motivated by neural co...
The mammalian auditory system is a more robust and versatile sound analyzer than any artificial syst...
The mammalian auditory system is a more robust and versatile sound analyzer than any artificial syst...
The question of how harmonic sounds produce strong, low pitches at their fundamental frequencies, f0...
This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signa...
A neural model of peripheral auditory processing is described and used to separate features of coart...
This work addresses the problem of identifying multiple fundamental frequencies in an acoustic signa...
Using the human auditory system as a guide we propose a signal processing strategy for decomposing c...
• Explore the brain code: synchronization and sequence of spikes for signal processing & recogni...
From physiology we learn that the auditory system extracts simultaneous features from the underlying...
Ribbon-class synapses in the ear achieve analog to digital transformation of a continuously graded m...
This paper describes the development of an auditory filterbank to perform the initial frequency anal...
This paper deals with continuous-time filter transfer functions that resemble tuning curves at parti...
Many speech enhancement algorithms suffer from musical noise – an estimation residue noise consistin...
We present a model for tone-in-noise detection at low frequencies that includes a physiologically re...