Moonshine Tiny ONNX
Moonshine Tiny is a lightweight automatic speech recognition (ASR) model suitable for embedded devices and edge computing scenarios.
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Release Time : 12/14/2024
Model Overview
This model is an optimized speech-to-text model, focusing on efficient inference and low resource consumption, ideal for real-time speech recognition applications.
Model Features
Lightweight and Efficient
Optimized for embedded devices and edge computing with low resource consumption
Fast Inference
Capable of real-time speech recognition in resource-constrained environments
ONNX Format
Provided in ONNX format for easy cross-platform deployment
Model Capabilities
Speech-to-Text
Real-time Speech Recognition
Multilingual Support
Use Cases
Smart Devices
Smart Home Voice Control
Enables voice command recognition in smart home devices
Low-latency response for home automation commands
Mobile Applications
Mobile Voice Input
Provides offline voice input functionality for mobile applications
Speech-to-text conversion without requiring internet connection
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