Human voice

Interview With Alexey Khitrov, President, Speechpro

Peter O’Neill, President, findBIOMETRICS (fB): Can you please give us a little bit of background on the company? Alexey Khitrov, President, Speechpro (SP):  Speechpro is the North American subsidiary of the Speech Technology Center . The company was founded in 1990 and has been around for over 20 years. Two key factors separate us from other companies. One is our emphasis on R&D. We do have probably one of the biggest R&D capabilities in voice biometrics with about 150 people in R&D alone (total staff is 400) including 30 PhD’s on board. The other thing is the breadth of the offering and the breadth of the technological expertise that we can bring to the customers. We have products in everything audio from multichannel recordings, speech analytics, signal processing, both text-dependent, text -independent voice verification (1:1) and voice identification (1:N). So the focus on R&D and the breadth of our offering are the two things that separate us from the rest. We have a long history in law enforcement segment of voice biometric market (including some of the world’s largest deployments) and recently introduced our solutions to the Enterprise customers. fB: Can you tell us a little bit about one of your latest product releases, the VoiceKey.OnePass? SP: Absolutely. So VoiceKey.OnePass is an innovative idea that brings together different biometric modalities into a single verification process. The idea here is to make verification in the mobile environment or online as easy as possible while increasing the security. So what we […]

Emotions Analytics To Transform Human-Machine Interaction

Here’s How Siri Can Land You a Hot Date Our devices are quite smart. They know what we type and touch, what we say and where we are; they even know how we look like, but they are quite clueless when it come to how we feel and what we mean. This still-absent bond between humans and machines is also the chief theme of the Gartner’s 2013 Hype Cycle for Emerging Technologies , suggesting “machines are becoming better at understanding humans and the environment — for example, recognizing the emotion in a person’s voice. “We all agree that human emotions are complicated, and arguably, the human voice might be the most personal and revealing ” emotional designator .” But currently, this is still the next big revolution waiting to happen — the most important, non-existing interface out there. Or is it? We all know that words alone don’t always tell the whole story. No doubt to truly understand we need to reach beyond the verbal. In many cases, it’s not what we say, but how we say it. We know this intuitively, and studies in neuropsychology in the last 50 years have demonstrated that body language and vocal intonation have a bigger impact than your actual choice of words. When you first meet someone, in less than 10 seconds after he or she starts talking, you’ve already formed an opinion about this person. As reported by Carol Kinsey Gorman at Forbes, researchers from NYU found that it takes just […]