My Voice AI - ai tOOler
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My Voice AI
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Voice recognition (1)

My Voice AI

Speaker verification in real-time for voice calls.

Tool Information

My Voice AI offers a cutting-edge voice intelligence platform that simplifies speaker verification and enhances user interaction through advanced voice technology.

My Voice AI is a conversational AI company that focuses on creating secure voice intelligence solutions. Their flagship product, NanoVoice™, utilizes Tiny Machine Learning (tinyML) to confirm a speaker's identity in real time, even on devices with very low power. This innovative technology works with any language and operates effectively in everyday settings on a wide range of devices, from cloud servers to mobile phones and even tiny chips.

One of the standout features of NanoVoice™ is its ability to identify speakers and protect against spoofing. It can detect recordings or impersonation attempts while ensuring that the correct person is saying the random digit passcode. But that’s not all—this technology also picks up on emotions like stress, happiness, and anger, and can determine a speaker's gender and age, all just from their voice.

The team behind My Voice AI includes top-notch speech scientists who are pushing the boundaries of voice AI beyond just identity verification, with a strong emphasis on research and development. Their client base features prominent financial institutions and leaders in edge AI technology. Founded by a group of experienced speech scientists and entrepreneurs, including Dr. David Horowitz, Ivar Line, and Nikola Andelic, the company is committed to advancing voice technology.

By harnessing the latest in deep neural networks and deep learning methods, My Voice AI offers remarkably efficient training and inference engines that take up minimal space and energy. Their goal is to enhance the authentication process and make user interactions smoother by enabling people to engage with technology using only their voice.

Pros and Cons

Pros

  • Enhances privacy in verification
  • Very energy efficient
  • Detects recordings and fake speech
  • Can verify digits
  • Real-time speaker verification
  • Co-founded by experts in speech
  • Can be licensed as software
  • Expert in voice technology
  • Uses deep neural networks
  • Ability to identify speakers
  • Compatible with any gadget
  • Adapts to real-life situations
  • Has measures to prevent fakes
  • Can detect emotions
  • Can identify gender
  • Secure platform from start to finish
  • Focuses on pure research
  • Uses small machine learning
  • Works on very low power devices
  • Employs advanced machine learning methods
  • Works with banks and financial companies
  • Smallest verification engine in the world
  • Can work with any language
  • Can guess age by voice

Cons

  • Few customers
  • Needs deep learning skills
  • No clear text analysis
  • May invade privacy with emotion detection
  • Only real-time verification
  • Depends on tinyML
  • Only for audio analysis
  • No visual checks
  • No open-source choice
  • Company is quite new

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