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The Current State of the Art of EHR: Requirements of Interoperable EHR to Use Consistent Standards to Support Information Sharing Across Wide Networks Udi E. Ghitza, PhD Gregory J. Downing, DO, PhD - Title: AHIC Presentation Template Author: Ganous Last modified by: Meg Brunner Created Date: 8/25/2004 5:22:33 PM Document presentation format: On-screen Show (4:3)

Title: AHIC Presentation Template Author: Ganous Last modified by: Meg Brunner Created Date: 8/25/2004 5:22:33 PM Document presentation format: On-screen Show (4:3)

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A Model of Binaural Processing Based on Tree-Structure Filter-Bank - A Model of Binaural Processing Based on Tree-Structure Filter-Bank , , ,

A Model of Binaural Processing Based on Tree-Structure Filter-Bank , , ,

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Coherent%20envelope%20detection%20for%20modulation%20filtering%20of%20speech PowerPoint PPT Presentation

Coherent%20envelope%20detection%20for%20modulation%20filtering%20of%20speech - Traditionally, people have used the 'Hilbert envelope' Based on the ... Average the modulation spectrogram of a processed signal across acoustic frequency ...

Traditionally, people have used the 'Hilbert envelope' Based on the ... Average the modulation spectrogram of a processed signal across acoustic frequency ...

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The Current State of the Art of EHR: Requirements of Interoperable EHR to Use Consistent Standards t PowerPoint PPT Presentation

The Current State of the Art of EHR: Requirements of Interoperable EHR to Use Consistent Standards t - The Current State of the Art of EHR: Requirements of Interoperable EHR to Use ... Time flies like an arrow. Fruit flies like a banana. -Groucho Marx. C. Mead ...

The Current State of the Art of EHR: Requirements of Interoperable EHR to Use ... Time flies like an arrow. Fruit flies like a banana. -Groucho Marx. C. Mead ...

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USING COMPUTATIONAL MODELS OF BINAURAL HEARING TO IMPROVE AUTOMATIC SPEECH RECOGNITION: Promise, Pro PowerPoint PPT Presentation

USING COMPUTATIONAL MODELS OF BINAURAL HEARING TO IMPROVE AUTOMATIC SPEECH RECOGNITION: Promise, Pro - applied in a meaningful fashion to automatic speech recognition. Will not ... But the bad news is that error rates in real environments go down only a smalll ...

applied in a meaningful fashion to automatic speech recognition. Will not ... But the bad news is that error rates in real environments go down only a smalll ...

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Perceptual compensation for reverberation: computer modelling PowerPoint PPT Presentation

Perceptual compensation for reverberation: computer modelling - Use the corpus of binaural room impulse responses (BRIRs) recorded at Reading ... interaural coherence (requires binaural model) Low-frequency modulation ...

Use the corpus of binaural room impulse responses (BRIRs) recorded at Reading ... interaural coherence (requires binaural model) Low-frequency modulation ...

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HEARING AND SPEECH BY HUMANS AND MACHINES PowerPoint PPT Presentation

HEARING AND SPEECH BY HUMANS AND MACHINES - Auditory frequency selectivity: critical bands ... Frequency selectivity and spectral bandwidth (but using a constant analysis window duration! ...

Auditory frequency selectivity: critical bands ... Frequency selectivity and spectral bandwidth (but using a constant analysis window duration! ...

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1. dia - Title: 1. dia Author: istvanne.horvath2 Last modified by: Szab M ria Created Date: 2/28/2006 12:36:46 PM Document presentation format: Diavet t s a k perny re

Title: 1. dia Author: istvanne.horvath2 Last modified by: Szab M ria Created Date: 2/28/2006 12:36:46 PM Document presentation format: Diavet t s a k perny re

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CSE 552 - Use 5 states (plus two null states) for training; if you want ... developed at CMU by Cole, Stern, et al. competitive performance at alphabet classification ...

Use 5 states (plus two null states) for training; if you want ... developed at CMU by Cole, Stern, et al. competitive performance at alphabet classification ...

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Dealing with Acoustic Noise Part 1: Spectral Estimation PowerPoint PPT Presentation

Dealing with Acoustic Noise Part 1: Spectral Estimation - Noise from the Perspective of the Brainstem. Something happened!! (VAD) ... Is there something new in the signal (hypothesis H1), or not (hypothesis H0) ...

Noise from the Perspective of the Brainstem. Something happened!! (VAD) ... Is there something new in the signal (hypothesis H1), or not (hypothesis H0) ...

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