Overview
Description
Aizip's Speaker Identification algorithm provides accurate identification of registered speakers for biometric parameter recognition. The offline, low power, compact, and efficient TinyML model is suitable for a wide range of IoT applications in the consumer and enterprise markets. This turnkey solution runs efficiently on RA4E1 and RA6E1 devices and is available for the Renesas RA4 and RA6 families of MCUs.
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Features
- The detection and inference are done locally, no Internet connection to the cloud is required
- Provides efficient and effective identification of the speaker among registered users
- User registration is done by recording pre-selected keywords three times
- Good accuracy and very compact size achieved due to Aizip's leading efficient AI technology
- RA4E1/RA6E1 devices provide a turnkey solution. No action by the user is required.
Comparison
Applications
- Smart Cities
- Smart Homes
- Smart Sensors
- Building Automation
- Consumer Electronics
Videos & Training
AIZip - Speaker Identification Introduction on Renesas Voice Kit RA6E1
Can your Voice Command Recognition system know who is taking? Renesas and AIZip offer an all-in-one-the-edge VUI solution that recognizes the speech and identifies who is speaking.
Video List
