Speaker authentication software

This approach does not depend on the person speaking a particular passphrase. The other is Text Dependent Voice Verification. IDVoice enables both options depending on your use case and in some scenarios they may be used together. A typical text independent speaker verification use case is authenticating a caller while they are speaking with a call center agent, or even in the IVR. Increasingly, voice is used as an authentication factor for mobile application login — often in conjunction with face biometrics and something the user has, such as their device.

Additionally, speaker recognition is being used to bring frictionless security and personalization to conversational interfaces, messaging apps, and IoT devices ranging from smart speakers to connected cars. IDVoice combines proprietary text- and language-independent technology based on deep neural networks DNN.

The architecture is designed to support multiple outputs for multiple use cases:. Low error rates are consistently achieved even with far-field microphones and in noisy environments. IDVoice is delivered as an SDK for easy integration with your existing applications or product offerings. Deploy IDVoice on mobile clients, servers, private clouds, and embedded systems. This template is meaningless to anyone who obtains it.

This is called a spoofing attack, or presentation attack, and it is prevented using a technology called liveness detection. The product works in the background to distinguish between a real person and a presentation attack without any actions or additional effort from the user.

As digital audio has made audio editing available to almost everyone, Audio Forensics has also advanced with sophisticated software and high-resolution monitors that reveal what has been done to the audio, more than ever before. Audio Authentication Process: Forensic Audio Authentication has always consisted of a series of steps to help the examiner discover what is there that should not be there, and prove the absence of what should be there.

Over the years, and the transition from analog to digital, the steps have changed. These steps continue to evolve as new sophisticated high-end Audio Forensics software becomes available. Notice: JavaScript is required for this content. Voice biometrics is the future of speaker identification and authentication, delivering enhanced fraud protection and a more streamlined customer experience.

VoiSentry is designed to enable OEM partners to quickly and cost-effectively add voice authentication to any telephony-based application. By clicking submit, you acknowledge Aculab will store and process the personal information provided under legitimate interest. For more information about how we process your data, please see our Privacy policy. Read the full blog post. Listen the podcast. From privacy and security, to ease of use and savings.

Discover how your business can benefit from cloud based voice biometrics. Continue reading. Verification of identity has changed a lot over the years. As the world has shifted away from face-to-face interactions to phone and digital solutions, so has the way in which we identify and verify who we are. This email address is being protected from spambots. You need JavaScript enabled to view it. Industries Case studies.