7 packages tagged with “NLU”
Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of interest, in real-time. For example, given a spoken command "Can I have a small double-shot espresso?", Rhino infers that the user wants to order a drink with these specifications: { "type": "espresso", "size": "small", "numberOfShots": "2" } Rhino is: - using deep neural networks trained in real-world environments. - compact and computationally-efficient, making it perfect for IoT. - cross-platform. It is implemented in fixed-point ANSI C. Raspberry Pi (Zero, 3, 4, 5), Android, iOS, Linux (x86_64), Mac (x86_64), Windows (x86_64, arm64), and web browsers are supported. Furthermore, Support for various ARM Cortex-A microprocessors and ARM Cortex-M microcontrollers is available for enterprise customers. - self-service. Developers and UX designers can train custom models using Picovoice Console.
nlu models
Picovoice is an end-to-end platform for building voice products on your terms. It enables creating voice experiences similar to Alexa and Google. But it entirely runs 100% on-device. Picovoice is: - Private: Everything is processed offline. Intrinsically HIPAA and GDPR compliant. - Reliable: Runs without needing constant connectivity. - Zero Latency: Edge-first architecture eliminates unpredictable network delay. - Accurate: Resilient to noise and reverberation. It outperforms cloud-based alternatives by wide margins *. - Cross-Platform: Design once, deploy anywhere. Build using familiar languages and frameworks.
Behemehal® DialogEngine® Assistant communication libary
A C# .Net Core standard library that wraps the MITIE NLP C++ library.
Roham AI platform is a collection of Speech to Text, Text to Speech, Optical Charachter Recognition, Face Recognition and Natural Language Understanding.