An item on SpeechTechMag.com indicates that "the American National Standards Institute has published INCITS 456: Speaker Recognition Format for Raw Data Interchange (SIVR-1), a standard governing the type and format of data that should be included with shared audio files used for speaker identification and verification." Judith Markowitz, president of J. Markowitz Consultants is the editor of the standard, which was 4 years in the making.
The types of data to be included with the file are: the bandwidth used to make the recording; date and time of the recording; type of channel that was used to record the data, such as a wireless or landline phone; information about the speaker, such as gender, age, language, and accent; the input device used; security used, such as the type of encryption; and the sampling rate. According to the article, the format is intended to be vendor-neutral.
It should be noted that, although the standard is not mandatory, it can be very useful to organizations such as military, intelligence and law enforcement that often share data about potential threats.
Showing posts with label judith markowitz. Show all posts
Showing posts with label judith markowitz. Show all posts
Monday, August 30, 2010
Friday, March 26, 2010
Voice Biometrics Case Study – I DRIVE SAFELY
During yesterday’s Speech Technology webinar, William Morrow, Chairman and CEO of CSIdentity Corporation, presented a case study on the use voice biometrics in the distance learning space. In 2008, I DRIVE SAFELY, a provider of online defensive driving and traffic school courses, deployed the VoiceVerified® voice biometrics solution to enforce the academic integrity of students.
A 2009 Speech Technology article, by Judith Markowitz, described the enrollment and verification processes as follows:
Enrollment
• During the online registration process, the student provides their phone number
• An automated outbound call is made to the student and they are prompted to repeat six separate five-digit phrases (i.e., “base” voiceprint is captured and stored in the database)
Verification
• At key course intervals (e.g., completion of chapter, etc.), an automated outbound call is made to the student and they are prompted to verify their identity by repeating a five-digit phrase (i.e., “sample” voiceprint is captured)
• If the “sample” voiceprint matches the “base” voiceprint, the student’s identity is verified and they are permitted to advance to the next phase of the course
Since 2008, I DRIVE SAFELY has enrolled over 60,000 voice prints and completed over 300,000 verifications.
A 2009 Speech Technology article, by Judith Markowitz, described the enrollment and verification processes as follows:
Enrollment
• During the online registration process, the student provides their phone number
• An automated outbound call is made to the student and they are prompted to repeat six separate five-digit phrases (i.e., “base” voiceprint is captured and stored in the database)
Verification
• At key course intervals (e.g., completion of chapter, etc.), an automated outbound call is made to the student and they are prompted to verify their identity by repeating a five-digit phrase (i.e., “sample” voiceprint is captured)
• If the “sample” voiceprint matches the “base” voiceprint, the student’s identity is verified and they are permitted to advance to the next phase of the course
Since 2008, I DRIVE SAFELY has enrolled over 60,000 voice prints and completed over 300,000 verifications.
Thursday, March 25, 2010
Speech Technology Voice Biometrics Webinar - Summary
This afternoon, Speech Technology hosted a voice biometrics webinar titled “How Verifying Your Customer’s Identity Can Save You Money.” The panelists were: Judith Markowitz (Consultant), Chuck Buffum (Nuance), William Morrow (CSIdentity) and Paul Heirendt (Trade Harbor). The moderator was David Myron (Speech Technology).
Judith Markowitz began the session with a review of voice biometrics basics. According to her, organizations deploy voice biometrics to:
• Combat identity theft and other fraud
• Protect personal data - privacy
• Comply with regulations
• Enhance convenience and simplify the authentication process
Judith also mentioned that voice biometrics has been deployed in the following sectors: financial services, healthcare, distance learning, telecom, transportation and government.
Chuck Buffum next presented an interesting overview of voice biometrics metrics. He discussed business, solution and technology metrics. Business metrics measure reduced operating expenses, improved customer experience/satisfaction and improved security. Solution metrics include: automated authentication rate, security rate (1 – imposter rate), offer acceptance rate, enrollment success rate, and re-use rate (opposite of opt-out after enrollment). Technology metrics include: false reject, false accept and enrollment success rate.
Chuck also discussed some of the factors that influence voice biometrics performance, including: richness of voice enrollment (i.e., broad and deep phonetic coverage), quality of audio sample (e.g., signal noise ratio) and environmental characteristics (e.g., background noise).
William Morrow stressed the growing rate of identity theft and fraud as a driver for deploying voice biometrics. From 2007 to 2009, there was a 37% increase in the number of victims. He said that the cost of identity fraud in 2009, in the U.S., was $54 billion. William ended by presenting a brief case study about the use of voice biometrics to ensure academic integrity for distance learning company “I DRIVE SAFELY” (IDS).
The final panelist, Paul Heirendt presented an overview of TradeHarbor’s voice biometrics product (VoiceSignatureService(SM)). He also addressed many of the benefits that organizations can realize by deploying voice biometrics.
When the presentations were over, the panelists addressed questions submitted by the participants.
The archived webinar should be available for viewing on Speech Technology’s Website.
Judith Markowitz began the session with a review of voice biometrics basics. According to her, organizations deploy voice biometrics to:
• Combat identity theft and other fraud
• Protect personal data - privacy
• Comply with regulations
• Enhance convenience and simplify the authentication process
Judith also mentioned that voice biometrics has been deployed in the following sectors: financial services, healthcare, distance learning, telecom, transportation and government.
Chuck Buffum next presented an interesting overview of voice biometrics metrics. He discussed business, solution and technology metrics. Business metrics measure reduced operating expenses, improved customer experience/satisfaction and improved security. Solution metrics include: automated authentication rate, security rate (1 – imposter rate), offer acceptance rate, enrollment success rate, and re-use rate (opposite of opt-out after enrollment). Technology metrics include: false reject, false accept and enrollment success rate.
Chuck also discussed some of the factors that influence voice biometrics performance, including: richness of voice enrollment (i.e., broad and deep phonetic coverage), quality of audio sample (e.g., signal noise ratio) and environmental characteristics (e.g., background noise).
William Morrow stressed the growing rate of identity theft and fraud as a driver for deploying voice biometrics. From 2007 to 2009, there was a 37% increase in the number of victims. He said that the cost of identity fraud in 2009, in the U.S., was $54 billion. William ended by presenting a brief case study about the use of voice biometrics to ensure academic integrity for distance learning company “I DRIVE SAFELY” (IDS).
The final panelist, Paul Heirendt presented an overview of TradeHarbor’s voice biometrics product (VoiceSignatureService(SM)). He also addressed many of the benefits that organizations can realize by deploying voice biometrics.
When the presentations were over, the panelists addressed questions submitted by the participants.
The archived webinar should be available for viewing on Speech Technology’s Website.
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