Ascend_with_English Open-source Speech Recognition Model - Achieve Precise English Speech Recognition for Free

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Ascend With English

Developed by GleamEyeBeast

English speech recognition model fine-tuned on the timit_asr dataset for the ascend model

Speech Recognition

Transformers

#English Speech Recognition #TIMIT Fine-tuning #Low WER Model

Downloads 23

Release Time : 3/30/2022

Model Overview

This model is an Automatic Speech Recognition (ASR) model for English speech recognition, fine-tuned on the TIMIT ASR dataset, capable of converting English speech into text

Model Features

English Speech Recognition

Recognition capability specifically optimized for English speech

TIMIT Dataset Fine-tuning

Fine-tuned on the standard TIMIT ASR dataset, improving recognition accuracy

Low Word Error Rate

Achieves a word error rate (WER) of 22.51% on the evaluation set

Model Capabilities

English speech-to-text

Continuous speech recognition

Phoneme recognition

Use Cases

Speech Transcription

Meeting Minutes

Automatically convert English meeting recordings into text transcripts

Approximately 77.5% word recognition accuracy

Voice Assistant

Used for English voice command recognition

Education

Pronunciation Assessment

Used to evaluate the pronunciation accuracy of English learners

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	289	0.3524	0.3016
0.4246	2.0	578	0.3132	0.2607
0.4246	3.0	867	0.3044	0.2373
0.2008	4.0	1156	0.3075	0.2302
0.2008	5.0	1445	0.3049	0.2251

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Ascend With English

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 ascend_with_english

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions