Government ID, Smart Cards, Identification and Authentication

Siemens voice recognition technology to boost business productivity

Monday, June 16, 2008

New voice recognition software created by Siemens claims to be able to boost productivity within IT departments by automating certain help desk features. It is estimated that twenty percent of help desk calls are for lost or forgotten computer passwords, and fixing that problem can take roughly thirty minutes per request.

By storing employee voice data and characteristics, an automated answering service is able to match up the voice on the phone with one in its records, through what Siemens calls biometric speaker recognition, and give out a new password over the phone. This process takes about three minutes. Siemens IT Solutions department implemented this system in December 2007 and has reported that ninety percent of their employees have been very happy with the new procedure. [end] 

Auraya Systems announced the commercial release of its voice authentication solution called ArmorVox Speaker Identity System.

The solution, which was developed for system developers and call centers as either an enterprise or cloud-based solution, fuses text-independent and text-dependent voice-verification that automatically detect languages.

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Siemens CMT (Communications, Media and Technology) has announced a new mobile payments platform that enables users to purchase goods, transfer funds, pay bills and recharge their prepaid accounts all from a mobile phone.

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A new app for mobile phones running on the Android operating system has been developed by AppTech that purports to be capable of recognizing a person’s age via the built-in camera on the phones.

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Viv.ie, a start-up located in Ireland working on face recognition technology, announced it is finishing a new type of facial recognition technology that does away with a number of the security pitfalls current facial recognition technology is commonly guilty of, according to a Sydney Morning Herald article.

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ValidSoft partnered with Opus Research and released a report titled “Voice Biometrics Authentication Best Practices: Overcoming Obstacles to Adoption” that predicts the technology will be deployed in payment authentication assuming the best practices it lays out are followed.

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Researchers in the U.S. are working towards a system that can detect if someone is lying as well as if they are angry or drunk by their voice alone, according to a Homeland Security News Wire article.

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