My Voice AI – Survto AI
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My Voice AI
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Voice recognition (1)

My Voice AI

Real-time speaker verification for voice conversations.

Tool Information

My Voice AI is a conversational AI company that specializes in building secure end-to-end voice intelligence platforms. Their first product, NanoVoiceTM, uses Tiny Machine Learning (tinyML) to verify speakers in real-time, even on ultra-low power edge AI platforms. This patented technology is independent of any language and works in real-world conditions on any device from cloud to mobile phones and even ultra-low powered chips. It provides speaker identification, anti-spoofing, and digit verification by detecting recordings and spoofing attempts, verifying that the right person is saying the random digit passcode. Additionally, the technology also detects emotions like stress, happiness, and anger as well as gender and age through voice only.My Voice AI’s world-class speech scientists are developing the next generation of voice AI innovation beyond identity, with a focus on pure science. The company’s customers include financial institutions and edge AI embedded platform leaders. The company was founded by a team of speech scientists and serial entrepreneurs, including Dr. David Horowitz, Ivar Line, and Nikola Andelic. By leveraging state-of-the-art deep neural network and deep learning techniques, My Voice AI delivers the world’s smallest footprint and power-efficient training and inference engines. Overall, My Voice AI's products aim to enhance the authentication experience and improve the user interface by allowing users to communicate with technology using their voice only.

F.A.Q (20)

My Voice AI is a conversational AI company focused on building secure end-to-end voice intelligence platforms. Using advanced machine learning technologies, it provides speaker verification, which is independent of any language and works in real-world conditions on any device, from the cloud to mobile phones and ultra-low powered chips.

NanoVoice™ is the first product from My Voice AI. It's main function is to verify speakers in real time, even on ultra-low power edge AI platforms. It not only provides speaker identification, but also anti-spoofing measures, and digit verification by detecting and verifying that the right person is saying the random digit passcode.

My Voice AI uses Tiny Machine Learning (tinyML) in its NanoVoice™ technology. The tinyML allows the speaker verification process to be conducted in real time, even on ultra-low power devices. This technology plays a major role in the small footprint and power-efficiency of My Voice AI.

My Voice AI technology is independent of any language, thus it can effectively function with different languages. It is designed to operate effectively in real-world conditions on any device.

NanoVoice™ can be integrated across a wide range of platforms due to its power efficiency and small footprint. It can be incorporated into cloud-based systems, mobile phones, and even ultra-low powered chips.

My Voice AI ensures security during voice verification by detecting recordings and spoofing attempts. It verifies that the right person is speaking the random digit passcode, by using its patented technology. This allows it to provide a secure speaker verification process.

The unique aspect about the digit verification with My Voice AI is that it not only verifies the passcode, but also verifies that the right person is saying it, enhancing the security of the system.

Apart from speaker verification, My Voice AI also offers emotion, gender, and age detection through voice only. The system is intelligent enough to detect emotions such as stress, happiness, and anger.

My Voice AI can detect a variety of emotions through voice recognition including stress, happiness, and anger.

My Voice AI primarily serves financial institutions and edge AI embedded platform leaders.

My Voice AI is differentiated from other voice recognition AI's by its application of Tiny Machine Learning (tinyML) for speaker verification on even ultra-low power edge AI platforms. Additionally, it is independent of any language and works in real-world conditions on any device.

My Voice AI was founded by a team of speech scientists and serial entrepreneurs, including Dr. David Horowitz, Ivar Line, and Nikola Andelic.

My Voice AI modifies the user interface experience by offering the ability to communicate with technology using voice only. This enhances the authentication experience, letting users seamlessly engage with the technology.

In the context of financial institutions, My Voice AI can provide enhanced security measures through its robust speaker verification and anti-spoofing measures. The detection of emotions could also be used to gauge customer satisfaction during calls or voice interactions.

My Voice AI contributes to a privacy-enhanced authentication experience by bringing speaker verification to the edge. Its ability to verify that the right individual is speaking, in real-time, aids in ensuring a high level of privacy and security.

My Voice AI prides itself in delivering the world’s smallest footprint and power-efficient training and inference engines. This means it is highly efficient at learning from inputs (training) and making inferences based on what the AI has learned.

My Voice AI is not a stand-alone software. The company licenses its software and services for integration into existing platforms. Their technology, including NanoVoice™, can be used on a wide range of devices due to its power efficiency and small footprint.

My Voice AI technology can be applied on a variety of physical devices such as cloud-based systems, mobile phones, and ultra-low powered chips. The AI is designed to operate efficiently on any device.

My Voice AI's target market includes financial institutions and edge AI embedded platform providers, who need an efficient, real-time voice verification system for their platforms.

My Voice AI prevents spoofing attempts by detecting recordings and ensuring the right person is saying the random digit passcode. This feature allows it to distinguish between a live speaker and a recorded voice, thus effectively preventing spoofing attempts.

Pros and Cons

Pros

  • Real-time speaker verification
  • Works on ultra-low power platforms
  • Compatible with any device
  • Language independent technology
  • Speaker identification capability
  • Anti-spoofing feature
  • Digit verification
  • Real-world condition adaptability
  • Emotion detection
  • Gender detection
  • Age detection through voice
  • Tiny Machine Learning use
  • Advanced machine learning techniques
  • Deep neural network usage
  • Highly power-efficient
  • Privacy-enhanced authentication
  • Specialization in voice intelligence
  • Secure end-to-end platform
  • World's smallest verification engine
  • Co-founded by speech scientists
  • Focus on pure science
  • Anti-recording and spoofing detection
  • Software licensing capabilities
  • Partnerships with financial institutions

Cons

  • Dependent on tinyML
  • No open-source option
  • Limited to audio analysis
  • No visual authentication
  • Company is relatively new
  • Limited customer base
  • Potentially intrusive emotion detection
  • Limited to real-time verification
  • No explicit text analysis
  • Requires deep learning knowledge

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