Snowboy
Snowboy: Open Source Deep Learning Hotword Detection Engine
Snowboy is an open source, deep learning based hotword detection engine. It allows users to create and train custom hotword models to activate voice interfaces and speech recognition systems. Useful for powering voice assistants and hands-free applications.
What is Snowboy?
Snowboy is an open-source software for training custom wake word detectors to enable hotword/voice trigger functionality. It uses deep neural network models to provide high accuracy wake word detection while being resource-light enough to run on embedded devices.
Key features of Snowboy include:
- Ability to create personalized wake words like "Hey Snowboy" to activate a voice interface
- Pre-built common wake word models like "Hey Siri" or "OK Google"
- Tools to record and refine custom wake word audio data
- Runs locally on device without needing internet connectivity
- Small memory footprint suitable for IoT and mobile
- Cross-platform support including Linux, Mac, Windows, iOS, Android etc
- APIs available in Python, Node.js, Java, C++ etc to integrate with apps
- Free for non-commercial use
Snowboy is useful for developers building voice assistants, smart IoT devices, wearables, robotics projects etc where a custom wake word/hotword trigger is required to activate the speech interface hands-free. It can detect multiple wake words with high accuracy in noisy environments.
Snowboy Features
Features
- Customizable hotword detection
- Cross-platform support
- Multiple language support
- Low resource usage
- Easy integration with other apps/devices
- Pre-trained models available
- Can train custom models
- Real-time detection
- Open source
Pricing
- Open Source
- Free
Pros
Cons
Official Links
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