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Description
ExecuTorch is an open-source framework developed for PyTorch, specifically designed to deploy AI and machine learning models directly onto edge devices, facilitating tasks such as text, vision, speech, recommendation, and multimodal inference without the need for cloud connectivity. This framework allows for the exportation of models from PyTorch without any need for intermediate conversion formats, effectively maintaining ATen operators and employing ahead-of-time compilation to enhance performance tailored to specific hardware prior to deployment. Developers benefit from a modular architecture that offers flexibility in selecting both compile-time and runtime optimizations, all within the well-known PyTorch environment, which includes torchao specifically for quantization. With a lightweight C++ runtime that occupies roughly 50 KB, ExecuTorch is versatile enough to operate on a variety of platforms, including smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. It is compatible with multiple operating systems such as Android, iOS, Linux, Windows, macOS, and WebAssembly, and offers native APIs in C++, Swift, Kotlin, and Objective-C. As a result, ExecuTorch provides developers with a powerful tool to streamline the deployment of AI models across diverse devices and applications.
Description
Sensory Wake Word is a cutting-edge technology designed for embedded voice-trigger applications, enabling reliable, low-power "hotword" detection for continuously active voice interfaces. The solution features pre-defined wake words that facilitate quick implementation while maintaining consistent performance even in challenging, noisy environments. It boasts a minimal resource footprint, requiring as little as 30-40KB of code on digital signal processors, and offers an always-on and private operation without relying on cloud services. The system is equipped with strong noise rejection capabilities and can be deployed across various platforms, including Windows, Linux, Android, macOS, and real-time operating systems. It is compatible with a diverse range of processing cores, such as ARM Cortex-M, Cirrus ADSP2, CEVA Teaklite, and Tensilica Hifi. With a legacy of over 30 years in embedded voice AI and billions of devices delivered globally to notable clients like Amazon, Apple, Google, BMW, Microsoft, and Samsung, the technology stands as a testament to its reliability and effectiveness. Furthermore, developers can quickly create and test custom wake word models within hours through Sensory's user-friendly VoiceHub self-service portal, empowering them to enhance their projects with tailored voice recognition capabilities.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
C++
Facebook
Instagram
Kotlin
LLaVA
Llama 3.2
Muse Glimmer
Objective-C
OpenAI Whisper
Phi-4-mini-reasoning
Integrations
C++
Facebook
Instagram
Kotlin
LLaVA
Llama 3.2
Muse Glimmer
Objective-C
OpenAI Whisper
Phi-4-mini-reasoning
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ExecuTorch
Country
United States
Website
executorch.ai/
Vendor Details
Company Name
Sensory, Inc.
Founded
1994
Country
United States
Website
sensory.com
Product Features
Product Features
Speech Recognition
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition