# Voice Command Recognition

A fine-tuned audio classification model based on openai/whisper-tiny, excelling in voice command datasets

A voice command recognition model based on the HuBERT architecture, optimized for keyword spotting tasks

A voice command recognition model based on AST architecture, optimized for web deployment in ONNX format

This is an OpenVINO-optimized version converted from MIT/ast-finetuned-speech-commands-v2, designed to accelerate inference operations for voice command recognition tasks.

SUPERB keyword spotting model based on wav2vec2-base, specifically designed for 16kHz speech

Keyword detection model based on Hubert-Large architecture, excelling in SUPERB benchmark tests

This model is a keyword spotting model based on the Hubert architecture, designed to classify speech segments into predefined keyword sets.