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Neuro-IT Roadmap: Successful in the Physical World

Neuro-IT Roadmap: Successful in the Physical World. Robust perception Image processing Speech recognition Multimodal human machine interaction System integration Scene analysis and representation. Automotive: Overtake-Checker and Door-Opener Assistant. Dr. Axel Techmer

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Neuro-IT Roadmap: Successful in the Physical World

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  1. Neuro-IT Roadmap: Successful in the Physical World • Robust perception • Image processing • Speech recognition • Multimodal human machine interaction • System integration • Scene analysis and representation

  2. Automotive: Overtake-Checker and Door-Opener Assistant Dr. Axel Techmer Infineon Technologies

  3. Security: Face Detection & Recognition • Leading edge approach of face detection (University of Bochum) • Detection of face regions (a) • Pre-selecting of frontal faces (b) • Face recognition (c,d) • Elastic graph matching • Gabor Wavelet Transform Ruhr University Bochum

  4. Vision Instruction Processor (VIP) Infineon Technologies, Corporate Research, Systems Technology

  5. 16 parallel Processing Elements Vision Instruction Processor (VIP) Prototype available since May 2001: • SIMD - Architecture • 204 instructions • 10 Million logic transistors • On-chip memory: 37KB • Technology: 0.35µm • Clock: 100 MHz • Power consumption: 100µW/MOPS • Die size: 22mm x 23mm • Peak Performance: 53 GOPS • PCI-Board with VIP and camera submodules • Software Tools for VIP: • Compiler, Debugger, Profiler • Software Tools on Host: • MS Visual C++ with VPL++-Library • Application demonstrators • Car Vision, Face recognition, MPEG2, Graphic in 0.13µm CMOS Technology: • Clock: 200 MHz • Peak Perf.: 106 GOPS • Die Size: 70 mm² • Power Consump.: 700 mW Infineon Technologies, Corporate Research, Systems Technology

  6. othersensors Vehiclecontrol CPU othersensors Car Vision Components - Hardware Dr. Axel Techmer Infineon Technologies

  7. Neuro-IT Roadmap: Successful in the Physical World • Robust perception • Image processing • Speech recognition • Multimodal human machine interaction • System integration • Scene analysis and representation

  8. Classical Sound Processing for Speech Recognition

  9. Speech production: time waveform

  10. 20 ms window |FFT| resolves neither frequency nor temporal structure • |FFT| • frequency resolution: 50 Hz • temporal resolution: 20 ms

  11. Classical Sound Processing for Speech Recognition time structure of speech signal (<20 ms) is lost in the magnitude spectrum (|FFT|) Humans extract both temporal- and spectral information for robust speech recognition

  12. Auditory Sound Processing sound signal ear canal middle ear

  13. Auditory Sound Processing 100µm sound signal ear canal middle ear inner ear hydrodynamics

  14. BW speech range speech range rate threshold Dynamic Compression in the Inner Ear Inner ear model responses to 1 kHz tones apical basal

  15. Auditory Sound Processing sound signal ear canal middle ear inner ear hydrodynamics sensory cell synaptic mechanisms

  16. Coding of Sound into Action Potentials regular firing pattern (Dt=10 ms  f0=100 Hz) high frequency F0 low

  17. Spectral- and Temporal Sound Processing in the Auditory Pathway

  18. Neuro-IT Roadmap: Successful in the Physical World • Robust perception • Image processing • Speech recognition • Multimodal human machine interaction • System integration • Scene analysis and representation

  19. Audio-Visual Speech Recognition

  20. Audio-Visual Speech Recognition Tracking of lip motion with sub-pixel precision

  21. Audio-Visual Speech Recognition Tracking of lip motion with sub-pixel precision “two - one - seven - three - five - nine - eight - zero - four - six” Hidden- Markov Speech Recognizer

  22. Multi-modal: Pointing, gaze, gestures, mimics,… Dr. Axel Steinhage, Infineon Technologies AG

  23. Neuro-IT Roadmap: Successful in the Physical World • Robust perception • Image processing • Speech recognition • Audio-visual speech recognition • Multimodal human machine interaction • System integration • Scene analysis and representation

  24. Man-Machine-Interaction based on natural communication channels Dr. Axel Steinhage, Infineon Technologies Items presented by VPA Virtual Personal Assistant (VPA) Cheap sensors (Webcam, Microphone) Interactive comunication between user and VPA Natural channels speech, lip-motion, gestures ...

  25. Man-Machine-Interaction based on natural communication channels Dr. Axel Steinhage, Infineon Technologies Human expert via Advanced Videophone (HHI) Items presented by VPA Advanced Videophone Virtual Personal Assistant (VPA) Cheap sensors (Webcam, Microphone) Interactive comunication between user and VPA Natural channels speech, lip-motion, gestures ...

  26. What do we earn from Neuro-IT ? • Sensitive Sensors • Robust perception • Image processing • Speech recognition Robust processing • “Tools for Neuroscience” “Successful in the Physical World” World knowledge  “Constructed brain” • Scene analysis and representation • Intelligent human-machine interaction • Natural feedback • Intelligent virtual person  “Conscious Machines” • Self learning Software  “Factor 10” Digital and/or analog neuronal networks • Massively parallel processing hardware

  27. Neuro-IT Roadmap: Successful in the Physical World Werner HemmertInfineontechnologies AGCPR-ST Prof. Dr. Dr. h.c. H.-P. Zenner Prof. Dr. A.W. Gummer Prof. Dr. D.M. Freeman Dr. M. Mermelstein, B. Tsai U. Dürig, M. Despont, G. Genolet, U. Drechsler, P. Vettiger, G. Binning Prof. Dr. U. Ramacher J.-P. de la Cruz-Guiterrez, M. Holmberg Dr. A. Steinhage, Dr. A. Techmer

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