wav2vec2-child-en-tokenizer-4 Open-source Model - Dedicated to English Children's Speech Recognition, Empowering Educational Scenarios!

Wav2vec2 Child En Tokenizer 4

Developed by jaeyeon

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m, specifically designed for English child speech recognition tasks.

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Child Speech Recognition #English Speech Processing #Low-resource Optimization

Downloads 16

Release Time : 4/8/2022

Model Overview

wav2vec2-child-en-tokenizer-4 is a speech recognition model optimized for English child speech. It performs well in terms of Word Error Rate (WER) and is suitable for educational applications, child voice interaction scenarios, etc.

Model Features

Child Speech Optimization

Fine-tuned specifically for child speech characteristics to improve recognition accuracy

Efficient Training

Optimized training efficiency using techniques like gradient accumulation and mixed-precision training

Stable Performance

Demonstrates stable loss and word error rate on validation sets

Model Capabilities

English Speech Recognition

Child Speech Processing

Real-time Speech-to-Text

Use Cases

Education

Child English Learning Applications

Used to develop voice interaction features in child English learning applications

Word Error Rate 0.3769

Smart Toys

Smart Toy Voice Control

Provides speech recognition capabilities for children's smart toys

Training Loss	Epoch	Step	Validation Loss	Wer
0.0334	1.72	100	1.4709	0.3769
0.0332	3.45	200	1.4709	0.3769
0.0343	5.17	300	1.4709	0.3769
0.032	6.9	400	1.4709	0.3769
0.0332	8.62	500	1.4709	0.3769
0.0327	10.34	600	1.4709	0.3769
0.0331	12.07	700	1.4709	0.3769
0.0334	13.79	800	1.4709	0.3769
0.0319	15.52	900	1.4709	0.3769
0.0338	17.24	1000	1.4709	0.3769
0.0321	18.97	1100	1.4709	0.3769
0.0367	20.69	1200	1.4709	0.3769
0.0331	22.41	1300	1.4709	0.3769
0.0332	24.14	1400	1.4709	0.3769
0.0347	25.86	1500	1.4709	0.3769
0.0319	27.59	1600	1.4709	0.3769
0.0302	29.31	1700	1.4709	0.3769

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Wav2vec2 Child En Tokenizer 4

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec2-child-en-tokenizer-4

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

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