Temporal Auditory Coding Features for Causal Speech Enhancement

Auditory abstraction from spectro-temporal features to coding auditory entities.

The auditory system extracts behaviorally relevant information from acoustic stimuli. The average activity in auditory cortex is known to be sensitive to spectro-temporal patterns in sounds. However, it is not known whether the auditory cortex also processes more abstract features of sounds, which may be more behaviorally relevant than spectro-temporal patterns. Using recordings from three stat...

Robust automatic speech recognition and modeling of auditory discrimination experiments with auditory spectro-temporal features

Using Noise Robust Features for Speech Enhancement

A New system for speech enhancement, that uses hidden markov models (HMM) with noise-robust features, is developed. This system alleviates the error in decoding the noisy speech, that was observed in the conventional modelbased enhancement system [2] . This decoding error results in a degradation in the performance of the conventional system from its theoretical upper limits. A comparative test...

Specialization of left auditory cortex for speech perception in man depends on temporal coding.

Speech perception requires cortical mechanisms capable of analysing and encoding successive spectral (frequency) changes in the acoustic signal. To study temporal speech processing in the human auditory cortex, we recorded intracerebral evoked potentials to syllables in right and left human auditory cortices including Heschl's gyrus (HG), planum temporale (PT) and the posterior part of superior...

A spatio-temporal speech enhancement scheme for robust speech recognition

A new speech enhancement scheme is presented integrating spatial and temporal signal processing methods for robust speech recognition in noisy environments. The scheme first separates spatially localized point sources from noisy speech signals recorded by two microphones. Blind source separation algorithms assuming no a priori knowledge about the sources involved are applied in this spatial pro...