whisper-native-elderly-9-dutch Open Source Speech Recognition Model - Accurately Recognize Dutch Speech Content

Whisper Native Elderly 9 Dutch

Developed by golesheed

A speech recognition model fine-tuned on Dutch datasets based on OpenAI Whisper Large V2, with a word error rate of 10.14%

Speech Recognition

Transformers

OtherOpen Source License:Apache-2.0 #Dutch speech recognition #Low word error rate #Multi-round fine-tuning optimization

Downloads 22

Release Time : 2/6/2024

Model Overview

This model is an automatic speech recognition (ASR) system optimized specifically for Dutch, suitable for converting Dutch speech to text

Model Features

Dutch optimization

Specially fine-tuned for Dutch speech data, offering better performance in Dutch recognition compared to the original model

Low word error rate

Achieves an excellent word error rate of 10.14% on the evaluation set

Based on Whisper architecture

Utilizes the proven Whisper Large V2 architecture with powerful speech recognition capabilities

Model Capabilities

Dutch speech recognition

Long-form speech transcription

Multi-scenario speech processing

Use Cases

Speech transcription

Meeting minutes

Automatically convert Dutch meeting recordings into text transcripts

Approximately 90% accuracy (inferred from WER)

Media subtitle generation

Automatically generate subtitles for Dutch video content

Voice assistant

Dutch voice command recognition

Used for voice command recognition in Dutch smart home or in-car systems

Training Loss	Epoch	Step	Validation Loss	Wer
0.547	0.49	30	0.3162	11.6867
0.2746	0.98	60	0.2737	11.8923
0.1356	1.48	90	0.2783	12.7351
0.1356	1.97	120	0.2870	12.4165
0.0697	2.46	150	0.2864	11.5223
0.0544	2.95	180	0.2922	10.3505
0.0246	3.44	210	0.3186	10.3916
0.0217	3.93	240	0.3104	10.2580
0.0113	4.43	270	0.3237	10.2066
0.009	4.92	300	0.3288	10.1449

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Whisper Native Elderly 9 Dutch

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Whisper Large V2

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License