1. Voice Based Autonomous Access Control Terminals HEXIUM Technical Development Co., Ltd. 2003

2. Table of Contents Introducing Hexium Ltd. The problem Access control Biometrics Voice-print properties Innovation Preliminary market analysis Summary

3. HEXIUM Technical Development Co., Ltd. Research, development, production (hardware, software) Security control, image processing, industrial measurement, signal processing and automation

4. The problem Communication network TriMedia Terminal Server RS485 1.Physical access/time control 2.Inexpensive, reliable, fast, user-friendly

5. Issues with ownership based access control What to identify? a card? a keyword? a PIN code? … and NOT the PERSON! Gives rise to abuse..

6. Biometrics Identification of human subjects based on Physical parameters Behavioral parameters Examples: Fingerprint, iris, face, ear, hand Signature, voice

7. Comparision of biometrics MethodRecognitionUser acceptance User friendliness Difficulty/ method of abuse Fingerprint*********Sensor dependent Signature******* Learning Face*****^Masks Retina/iris****---- ----- Hand*********Sensor dependent Voice***^**** Sensor and system dependent

8. But.. Issues with biometrics Expensive sensors Poor acceptance by users due to.. Uncomfortable use Mistrust Precision, reliability Recall Slow processing

9. Properties of voice Identitity verification: Speaker dependent features (speaker verificaton) Message verification: Message dependent features (speech recognition) Properties Speaker independent but content dependent Speaker dependent, independent of the message

10. Voice-print properties The figures show the spectogram of a sentence spoken twice by the same person Both the rhythm (a behavioral property) and the spectral distribution of identical sounds (physical parameters) stay remarkably constant. People are generally good at copying behavioral patterns (a behavioral property), but is is impossible for them to copy the physical “layout” of sounds. Speech of different people show vastly different rythmic and spectral patterns.

11. Issues with speaker verification Noisy environment People staying close Takes time (dialogue) Goal: scaleable, multi-layer system FAR 0.01%-0.0001% FRR small (below 1%) FAR: false acceptance rate FRR: false reject rate

12. Innovation Advanced noise filtering “Liveness” verification using array microphones Optimized implementations Robust dialogue design minimizing the error rate Multi-model user interface Open system architecture

13. Preliminary market analysis IDC Access control, 2002: USD 4.2M Biometrics, only banks, 2004: USD 1,800M We are here..

14. Summary Advanced, autonomous voice based access control terminals Competitive technology Better acceptance than that of competing biometrics technologies Growing market demand

15. Contact HEXIUM Technical Development Co., Ltd. H-1134 Budapest, Váci út 51/b, HUNGARY Phone: (+36 1) 320-8338 Fax: (+36 1) 340-8072 E-mail: mail@hexium.hu tamas.nagy@hexium.hu csaba.szepesvari@hexium.humail@hexium.hucsaba.szepesvari@hexium.hu Honlap: www.hexium.hu www.hexium.hu/voiceterminalswww.hexium.hu