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Moonshine Base ONNX

Developed by onnx-community
ONNX-format automatic speech recognition model based on the Moonshine base model, supporting efficient inference
Downloads 1,171
Release Time : 12/14/2024

Model Overview

This is a lightweight model for automatic speech recognition (ASR) that converts speech to text. The model is optimized in ONNX format, making it suitable for deployment across various platforms.

Model Features

ONNX Format Optimization
The model is provided in ONNX format, supporting cross-platform deployment and efficient inference
Lightweight Design
The base model version is suitable for resource-constrained environments
End-to-End Speech Recognition
Directly generates text output from audio input without intermediate processing steps

Model Capabilities

Speech to Text
Real-time Speech Recognition
English Speech Processing

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts
Accuracy depends on audio quality and accents
Voice Assistant
Add voice command recognition functionality to applications
Supports real-time voice input processing
Media Processing
Video Caption Generation
Automatically generate subtitles from speech in videos
Enhances video content accessibility
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