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MIT Ast Finetuned Speech Commands V2 Ov
This is an OpenVINO-optimized version converted from MIT/ast-finetuned-speech-commands-v2, designed to accelerate inference operations for voice command recognition tasks.
Downloads 514
Release Time : 3/11/2023
Model Overview
This model is an audio classification model specifically designed for recognizing voice commands. The OpenVINO version optimizes inference performance, making it suitable for deployment on edge devices.
Model Features
OpenVINO Optimization
The model is optimized with the OpenVINO toolkit, significantly improving inference speed and making it suitable for production environment deployment.
Voice Command Recognition
Fine-tuned specifically for voice command recognition tasks, capable of accurately identifying common voice commands.
Edge Device Friendly
The optimized model is suitable for running on resource-constrained edge devices.
Model Capabilities
Voice Command Recognition
Audio Classification
Real-Time Inference
Use Cases
Smart Home
Voice-Controlled Devices
Recognizes user voice commands to control smart home devices
Accurately identifies voice commands such as turning on/off or adjusting settings
Wearable Devices
Voice Assistant
Implements voice control functionality on devices like smartwatches
Low-latency response to voice commands
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