Build always-listening yet private voice applications. Porcupine is a highly-accurate and lightweight wake word engine. It enables building always-listening voice-enabled applications. It is using deep neural networks trained in real-world environments. Compact and computationally-efficient. It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Edge. Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64). Scalable. It can detect multiple always-listening voice commands with no added runtime footprint. Self-service. Developers can train custom wake word models using Picovoice Console. Porcupine is the right product if you need to detect one or a few static (always-listening) voice commands. If you want to create voice experiences similar to Alexa or Google, see 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 engineering risks
  • Build with Picovoice SDKs in Minutes
  • Elevate user experience across all channels while remaining platform agnostic

Project Samples

Project Activity

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License

Apache License V2.0

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Porcupine Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

TypeScript

Related Categories

TypeScript Machine Learning Software, TypeScript Deep Learning Frameworks

Registered

2022-08-05