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Wav2vec2 Base Finetuned Speech Commands V0.02
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Wav2vec2 Base Finetuned Speech Commands V0.02

Developed by 0xb1
This model is a voice command recognition model fine-tuned on the speech_commands dataset based on facebook/wav2vec2-base, achieving an accuracy of 97.59%.
Audio Classification
Transformers
Open Source License:Apache-2.0#Voice command recognition#High accuracy#wav2vec2 fine-tuning
Downloads 1.2M
Release Time : 4/8/2023

Model Overview

A voice command recognition model based on the wav2vec2 architecture, specifically designed for recognizing short voice commands.

Model Features

High accuracy
Achieves 97.59% accuracy on the speech_commands evaluation set.
Based on wav2vec2 architecture
Utilizes the powerful speech feature extraction capabilities of wav2vec2.
Lightweight fine-tuning
Targeted fine-tuning on the base model maintains efficiency while improving performance on specific tasks.

Model Capabilities

Voice command recognition
Short speech classification
Speech feature extraction

Use Cases

Smart home control
Voice control command recognition
Recognizes simple voice commands like 'turn on the light' or 'turn off the light'.
Accuracy 97.59%
Voice assistant
Basic command recognition
Recognizes basic interaction commands like 'yes/no', 'start/stop'.
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