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Whisper Tiny Tel Tam Try1

Developed by JasHugF
A fine-tuned audio classification model based on openai/whisper-tiny, excelling in voice command datasets
Downloads 18
Release Time : 1/18/2025

Model Overview

This model is a fine-tuned audio classification model based on the openai/whisper-tiny architecture, specifically designed for voice command recognition tasks, achieving 97.7% accuracy on the test set.

Model Features

High Accuracy
Achieves 97.7% classification accuracy on voice command datasets
Based on Whisper Architecture
Fine-tuned from the OpenAI Whisper-tiny model, inheriting its excellent speech processing capabilities
Lightweight
The tiny version is suitable for deployment in resource-constrained environments

Model Capabilities

Voice Command Recognition
Audio Classification

Use Cases

Smart Home Control
Voice-Controlled Devices
Used to recognize user voice commands for smart home devices
High accuracy in recognizing common control commands
Voice Assistants
Basic Command Recognition
Serves as the underlying command recognition module for voice assistants
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