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SIV Applications. Claudia Daboul (IBP) Martin Eckert (T-Systems) Judith Markowitz (J. Markowitz, Consultants) 08. Aug 2006. The SBC SIV-Applications Collection. Purpose of the document Project of VoiceXML Forum Speaker Biometrics Committee (SBC)
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SIV Applications Claudia Daboul (IBP) Martin Eckert (T-Systems) Judith Markowitz (J. Markowitz, Consultants) 08. Aug 2006
The SBC SIV-Applications Collection • Purpose of the document • Project of VoiceXML Forum Speaker Biometrics Committee (SBC) • Provide a representative set of sample SIV applications from a technical perspective • Complement the SIV-requirements document by the same working group • Serve as a test-set for the development of an SIV-extension for VoiceXML • Sample applications should cover the most important markets/industries and the most important application categories • Main parts of the document • Overview about markets and existing applications • Future applications based on voice authentication
The SBC SIV-Applications Collection • Existing SIV applications in the document • Examples for transaction authentication • Access to mobile phone contract details • Authentication for direct banking service • Automated password reset • Examples for access control • SIV controlled door locks • Voice-coded car-theft protection • Personal computer access control • PC-access 2: multi-biometric authentication with usb-camera • Border control • Airborne interactive response system (AIRS) • Examples for audio mining • Forensics: SIV on intercepted calls
The SBC SIV-Applications Collection • Future SIV applications in the document • Examples for Personalization of IVR dialogue • E-Mail sending service • Examples for Information Retrieval • Voice-mail tagging • Caller-identification for call-center: caller-black-list • Speech-skimming: automatic meeting transcription • Examples for access control • Voice-only-access control for ATM • Multi-modal access control for ATM with vendor independent biometric data • PIN-less call-center authentication
The SBC SIV-Applications Collection • Classification of applications • industry: telecom, financial services, government, military, health care ... • type: authentication for self administration, access control, audio mining … • security level: low, medium, high • scale of deployment: national/international, small/medium/large groups, customers ... • VoiceXML-Relevance: low, medium, high • VoiceXML-Relevance • Main focus of the document are VoiceXML applications and applications that could conceivably be implemented using voice XML • Main indications for VoiceXML-relevance: • SIV done over a phone • SIV embedded in an IVR dialog • SIV used with concurrent ASR, e.g. for challenge response • Application has been implemented using VoiceXML with a vendor-specific SIV-extension. • VoiceXML Relevance Scoring: • High: two or more of above criteria • Medium: one of above criteria • Low: none of above criteria
The SBC SIV-Applications Collection • Example 1: Access To Mobile Phone Contract Details • Authentication for self-administration of mobile phone accounts (pilot implementation) • Implementer: T-Systems • VoiceXML-Platform: Unisys • Verifier (text dependent) +ASR: Nuance 8.5 • Authentication-Phases: • Designation A: Mobile phone number transmitted • Designation B:Mobile phone number spoken • Identification: Caller repeats up to three random digit sequences • Enrollment: On six fixed digit sequences • Adaptation: If verification score exceeds threshold in more than one utterance • Benefits: • Higher security compared to CLI-Only-Authentication. • Higher flexibility compared to CLI-Only-Authentication (call in also from land line). • Higher convenience compared to Two-Factor-Authentication with PIN or TAN.
The SBC SIV-Applications Collection • Example 2: First Direct Bank of Israel Leumi • Call-Center Authentication for Direct Banking Service. • Implementer: Persay • Verifier: FreeSpeech (text independent) from Persay • Authentication Phases: • Designation: ID entered through DTMF • Authentication: Background speaker verification on live conversation • Authentication Alternative: Knowledge-based questions • Enrollment: Data collected on three subsequent calls • Adaptation: Offline reject analysis • Benefits: • Higher security compared to PIN-Code-Only-Authentication. • Higher convenience compared to Two-Factor-Authentication with mandatory knowledge based question. • Shorter verification process compared to Two-Factor-Authentication
The SBC SIV-Applications Collection • Technical Features Example 1: • Small group identification • Concurrent processing by co-located SIV+ASR resources • Text-prompted SIV-mode on random digit sequences • Access to enrollment and authentication fallback: TANs • Enrollment on a fixed number of fixed phrases • Variable length identification-session • Detection of replay attack through challenge response • Combination of SIV and N-Best-Processing (LSIC) on designation utterance • Supervised adaptation • Technical Features Example 2: • Verification (single voice) • Background SIV processing on bridged transfer • Text-independent SIV-mode on live free speech • Access to enrollment and authentication fallback: Knowledge-based question • Enrollment distributed on several calls • Intermediate verification scores requested by operator when needed • Detection of replay attack through human operator • Language independent system
The SBC SIV-Applications Collection • Next steps • Document will be reviewed by several companies with SIV background • Check requirements document against applications document to verify all requirements are collected • Delivery to the W3C Voice Browser group (subgroup Speaker Authentication) You are interested to review the document or want to provide input to your SIV application? Any feedback would be appreciated. http://www.voicexml.org/resources/biometrics.html
