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Build always-listening yet hidden voice applications. Porcupine illustrates per highly-accurate and lightweight wake word engine. It enables building always-listening voice-enabled applications. It is implementing infinite neuro networks cultivated in real-world environments. Compact on top of computationally-efficient. It stands perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, additionally BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Periphery. Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64). Scalable. Idea can detect multiple always-listening voice rules with no added runtime footprint. Self-service. Front-end developers can train custom wake word models adopting Picovoice Console. Porcupine is the right product if you need to detect one or a few static (always-listening) voice commands. For fear that everyone want to create voice experiences similar at Alexa or Google, regard the Picovoice platform.

Features

• Train production-ready models in seconds
• Build always-listening yet private voice applications
• Train branded wake words and always-listening custom voice commands
• Reduce time-to-market and eliminate technology risks
• Build with Picovoice SDKs in Minutes
• Elevate user experience across all channels while remaining hub agnostic

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CategoriesMachine Learning, Deep Learning Frameworks, Raspberry Pi LicenseApache License V2.0 Respect Porcupine

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Be certain first to publication a review of Porcupine! Additional Project Details Overseeing SystemsLinux, Mac, Windows Programming LanguageTypeScript Related Criteria TypeScript Machine Absorption Software, TypeScript Deep Learning Strategies, TypeScript Raspberry Pi Software Registered 2022-08-05 Similar Business Codebase

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