Open-source Pronunciation_accuracy Model - Accurately evaluate the accuracy of speech pronunciation, FREE to use!

Pronunciation Accuracy

Developed by JohnJumon

A pronunciation accuracy evaluation model fine-tuned based on OpenAI Whisper-base, used to assess speech pronunciation accuracy

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Speech Evaluation #Pronunciation Correction #Whisper Fine-tuning

Downloads 18

Release Time : 3/15/2024

Model Overview

This model is a speech processing model based on the Whisper architecture, specifically designed for evaluating pronunciation accuracy. It achieved an accuracy rate of 62.3% on the evaluation set.

Model Features

Pronunciation Accuracy Evaluation

A model specifically designed to evaluate speech pronunciation accuracy

Based on Whisper Architecture

Built upon the mature Whisper speech recognition architecture

Lightweight Model

Uses the base version, suitable for resource-constrained environments

Model Capabilities

Speech Recognition

Pronunciation Accuracy Evaluation

Speech Feature Analysis

Use Cases

Language Learning

Foreign Language Pronunciation Evaluation

Helps language learners assess and improve pronunciation

Can provide 62.3% pronunciation accuracy evaluation

Speech Processing

Speech Quality Detection

Used to detect speech clarity and pronunciation quality

Property	Details
Model Type	Fine - tuned version of openai/whisper - base
Metrics	Accuracy

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	0.8216	0.639
No log	2.0	250	0.8341	0.638
No log	3.0	375	0.9277	0.623

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Pronunciation Accuracy

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 pronunciation_accuracy

🚀 Quick Start

📚 Documentation

Model Information

Training and Evaluation

Training Hyperparameters

Training Results

Framework Versions

📄 License