Wav2vec2-4 Open-Source Speech Recognition Model - Free Deployment to Assist with Automatic Speech Recognition Tasks

Wav2vec2 4

Developed by chrisvinsen

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, primarily used for automatic speech recognition tasks.

Downloads 16

Release Time : 5/22/2022

Model Overview

wav2vec2-4 is a speech recognition model based on the wav2vec2 architecture, fine-tuned for converting speech to text.

Based on wav2vec2 Architecture

Utilizes the advanced wav2vec2 architecture for speech feature extraction and recognition.

Fine-tuning Optimization

Targeted fine-tuning on the base model may enhance recognition performance in specific scenarios.

Speech Recognition

Audio to Text Conversion

Speech Transcription

Meeting Minutes

Automatically convert meeting recordings into text transcripts.

Voice Notes

Convert voice memos into editable text.

Training Loss	Epoch	Step	Validation Loss	Wer
5.1303	1.37	200	3.2783	1.0
2.8798	2.74	400	3.1233	1.0
2.8586	4.11	600	3.1612	1.0
2.8613	5.48	800	3.1354	1.0
2.8588	6.85	1000	3.2634	1.0
2.8572	8.22	1200	3.0905	1.0
2.8573	9.59	1400	3.2315	1.0
2.8532	10.96	1600	3.0999	1.0
2.8567	12.33	1800	3.1496	1.0
2.8556	13.7	2000	3.1081	1.0
2.8551	15.07	2200	3.1139	1.0
2.8545	16.44	2400	3.1621	1.0
2.8547	17.81	2600	3.1124	1.0
2.8551	19.18	2800	3.1612	1.0
2.854	20.55	3000	3.1052	1.0
2.8542	21.92	3200	3.1558	1.0
2.8544	23.29	3400	3.1370	1.0
2.8546	24.66	3600	3.1616	1.0
2.8563	26.03	3800	3.1366	1.0
2.8514	27.4	4000	3.1434	1.0
2.8543	28.77	4200	3.1442	1.0

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base