Wav2vec Fine-tuned Speech Command2 Open-source Speech Recognition Model - 97.35% Accuracy, Precise Speech Recognition

Wav2vec Fine Tuned Speech Command2

Developed by Thamer

A speech recognition model fine-tuned on the speech_commands dataset based on facebook/wav2vec2-base, achieving 97.35% accuracy

Audio Classification

Transformers

Open Source License:Apache-2.0 #Voice command recognition #High accuracy #wav2vec2 fine-tuning

Downloads 16

Release Time : 8/13/2023

Model Overview

This model is a fine-tuned version of wav2vec2-base, specifically designed for voice command recognition tasks, with excellent performance on the evaluation set.

Model Features

High accuracy

Achieves 97.35% accuracy on the speech_commands evaluation set

Based on wav2vec2 architecture

Uses facebook's wav2vec2-base as the base model, featuring powerful speech feature extraction capabilities

Efficient fine-tuning

Requires only 10 training epochs to achieve high performance

Model Capabilities

Voice command recognition

Short speech classification

Use Cases

Smart home control

Voice-controlled devices

Recognizes user voice commands to control smart home devices

High-accuracy recognition of common control commands

Voice interaction applications

Voice assistant command recognition

Recognizes basic commands issued by users to voice assistants

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3874	1.0	50	0.9633	0.9229
0.5144	2.0	100	0.4398	0.9138
0.3538	3.0	150	0.1688	0.9651
0.2956	4.0	200	0.1622	0.9623
0.2662	5.0	250	0.1425	0.9665
0.2122	6.0	300	0.1301	0.9682
0.1948	7.0	350	0.1232	0.9693
0.1837	8.0	400	0.1116	0.9734
0.1631	9.0	450	0.1041	0.9734
0.1441	10.0	500	0.1040	0.9735

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Wav2vec Fine Tuned Speech Command2

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec-fine_tuned-speech_command2

🚀 Quick Start

📚 Documentation

Training and evaluation data

Model description

Intended uses & limitations

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License