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A key question for speech enhancement and simulations of auditory scene analysis in high levels of nonstationary noise is how to combine principles of auditory grouping and to integrate several noise-perturbed acoustical cues in a robust way. We present an application of recent online, nonlinear, non-Gaussian multidimensional statistical filtering methods(More)
The role of temporal fluctuations and systematic variations of interaural parameters in localization of sound sources in spatially distributed, nonstationary noise conditions was investigated. For this, Bayesian estimation was applied to interaural parameters calculated with physiologically plausible time and frequency resolution. Probability density(More)
Noise reduction algorithms have been proposed that try to imitate some aspects of the binaural information processing in the human hearing system by using two microphones at both ears and a central processor. Based on a two channel input, it is theoretically possible to cancel one interfering directional noise source at a time. Due to the relatively large(More)
A main task for computational auditory scene analysis (CASA) is to separate several concurrent speech sources. From psychoa-coustics it is known that common onsets, common amplitude modulation and sound source direction are among the important cues which allow the separation for the human auditory system. A new algorithm is presented here, that performs(More)
The layout of this document is designed for ISO B5 Format (176 x 250 millimeter). This electronic version is prepared for printing on ISO B5 paper without cropping. Observe the following instructions to print and bind it correctly: • Print this document with Adobe Acrobat Reader or equivalent software on paper with ISO B5 format (176 x 250 millimeter). Use(More)
Noise reduction algorithms have been proposed which imitate aspects of the binaural processing in the hearing system. Based on a two-channel input, it is theoretically possible to cancel one interfering directional noise source at a time and to cancel reverberation based on coherence measures. In practice, however, no significant increase in speech(More)
A main task for computational auditory scene analysis (CASA) is to separate several concurrent speech sources. From psychoa-coustics it is known that common onsets, common amplitude modulation and sound source direction are among the important cues which allow the separation for the human auditory system. A new algorithm for binaural signals is presented(More)
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