rhino and speech-to-intent-benchmark
About rhino
Picovoice/rhino
On-device Speech-to-Intent engine powered by deep learning
This project helps product builders create voice-enabled experiences for their customers by understanding spoken commands in real-time on devices. It takes spoken phrases as input and translates them into clear, actionable user intentions and specific details (like 'order a small espresso'). This is for developers and product managers creating applications that need to respond to voice commands, especially for smart devices or hands-free interactions.
About speech-to-intent-benchmark
Picovoice/speech-to-intent-benchmark
benchmark for Speech-to-Intent engines
This framework helps developers and product managers evaluate how well different speech-to-intent engines understand spoken commands, especially in noisy environments. It takes various audio recordings of spoken commands and outputs a comparison of how accurately different engines like Amazon Lex or Google Dialogflow correctly interpret the user's intent. This is for anyone building voice-enabled applications who needs to choose the best backend for understanding user commands.
Scores updated daily from GitHub, PyPI, and npm data. How scores work