E

English ASR

Developed by maher13
This model is a fine-tuned English Automatic Speech Recognition (ASR) model based on facebook/wav2vec2-base, achieving a word error rate of 0.3397 on the evaluation set.
Downloads 13
Release Time : 3/2/2022

Model Overview

This is a model for English speech recognition, capable of converting English speech into text.

Model Features

Low Word Error Rate
Achieved a word error rate of 0.3397 on the evaluation set, demonstrating good performance.
Based on wav2vec2 Architecture
Fine-tuned using facebook's wav2vec2-base model, inheriting its excellent speech feature extraction capabilities.
Efficient Training
Utilizes mixed-precision training (native AMP) and a linear learning rate scheduler for high training efficiency.

Model Capabilities

English Speech Recognition
Speech-to-Text

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert English meeting recordings into written transcripts
Approximately 66.03% accuracy (based on 1-0.3397 word error rate)
Voice Notes
Convert English voice notes into searchable text
Assistive Tools
Subtitle Generation
Automatically generate subtitles for English video content
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase