My Voice AI ✓
Unlock the power of human voice beyond words.
Verdict
A quick read before you dig into the full page.
- Best if
- Unlock the power of human voice beyond words
- Skip if
- Requires deep learning knowledge
- Pick this when
- Real-time speaker verification
Considering Velma API by Modulate instead? Compare side by side
Overview
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.
Access & connections
Where you can use My Voice AI.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- Audio
Output
- Audio
Pros & 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
Show 16 more
- 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
Show 2 more
- No explicit text analysis
- Requires deep learning knowledge
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