My Voice AI
Enable Voice Capabilities to any Consumer Devices with Ease

The world is moving forward, and as each day passes, more and more people are beginning to use digital voice assistants. The market for these smart speakers or devices is rapidly growing and replacing simple but often inconvenient tasks. The possibility of giving commands and selfimproving algorithms helps smart-devices to get smarter. Furthermore, there is also an ever-growing market for chatbots for creating and tracking insurance claims, personal online banking, booking travel accommodation and flights, service support internally and more. What’s on the horizon for the future is laying the groundwork for the new online experience!

My Voice AI unlocks the power of voice using the latest machine learning techniques, starting with speaker identification and continuing with sentiment analysis, emotion detection and the real-time evaluation of other speaker characteristics. My Voice AI is a Biometric Authentication Startup working within the area of biological artificial intelligence. When tackling the problem of Voice Biometrics, My Voice AI applies models that capture human voice physiology’s form and function. The principle is that nothing performs better at a sensory act like voice identification than the human speech communication chain.

The speech signal is produced by the mouth and vocal tract and received by the auditory system or ear, especially when paired with modern machine learning and artificial intelligence algorithms.

Dr David M. Horowitz, CSO and Co-founder of My Voice AI, has led a distinguished career focussed on Biologically Inspired Artificial Intelligence. Biologically Inspired Artificial Intelligence is an AI whose algorithms are rooted in human physiological models of Sensory Perception and Cognition. For example, when tackling the problem of Voice Biometrics, Dr Horowitz applies models that capture human voice physiology’s form and function. Suppose one wants to build a system to identify a person by his or her voice quality. In that case, the system should be based on human voice physiology models that are responsible for creating unique voice quality. Such models are called source-filter models of speech communication where the source is in the larynx, namely the glottis - two fleshy folds at the opening to the lungs that vibrates during air-flow from the lungs and gives speech its pitch and tone and this source is filtered or shaped by the vocal tract including the lips. It is the vocal tract that produces the individual sounds of speech or so-called phonemes, and it is the voicing source or glottis that produces the voice quality that enables us to identify who the speaker is.

Dr Horowitz crafts My Voice AI voice biometrics system called ACV (Acoustic Correlates of Voice Quality) with the sourcefilter model of speech communication but employs machine learning algorithms as well. Indeed, Biologically Inspired Artificial Intelligence accepts machine learning but rather compliments it, and ACV works with Biologically Inspired AI by complimenting machine learning algorithms. My Voice AI has taken this technology to incorporate it into an SDK and platform for rapid commercial distribution and integration. In doing so, My Voice AI is positioned to be the world leader in text-independent voice biometrics.

Today, the voice user interface has exploded in popularity, as speech recognition technology enables users to communicate with technology with their voice. My voice’s dedicated team of Speech Scientists and AI Engineers are working on an exciting roadmap of additional voice-centric capabilities that includes gender and age detection, speaker isolation and even emotion detection.