
My Voice AI specializes in secure, end-to-end conversational AI voice intelligence platforms. Their initial offering, NanoVoiceTM, employs Tiny Machine Learning (tinyML) for real-time speaker verification, even on very low-power edge AI devices.
This patented technology operates independently of language and functions effectively in real-world scenarios across devices, from cloud systems to mobile devices and even low-power chips.
It delivers speaker identification, spoofing prevention, and digit verification by identifying recordings and spoofing attempts, validating that the correct individual is reciting the random digit passcode.
In addition, it can detect emotions such as stress, joy, and anger, as well as gender and age, using only voice analysis. My Voice AI's team of expert speech scientists is pioneering the next wave of voice AI innovations, extending beyond identity verification with a focus on fundamental scientific principles.
Their clientele includes financial organizations and leaders in edge AI embedded platforms. The company's founders are speech scientists and experienced entrepreneurs, including Dr.
David Horowitz, Ivar Line, and Nikola Andelic. Utilizing cutting-edge deep neural networks and deep learning methodologies, My Voice AI offers highly compact and energy-efficient training and inference solutions.
Ultimately, My Voice AI's products are designed to improve the authentication process and improve the user interface by enabling voice-based interaction with technology.
Real-time identification of speakers
Functions on extremely low-power platforms
Works with any device
Relies on tinyML
No open-source option available
Confined to audio-based analysis

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