Wav2vec2-large-xlsr-hausa2 Open-source Model - Free Deployment for Hausa Speech Recognition

Wav2vec2 Large Xlsr Hausa2 Demo Colab

Developed by Arnold

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Common Voice dataset, primarily used for Hausa speech recognition tasks.

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Hausa speech recognition #XLSR fine-tuning #Low word error rate

Downloads 17

Release Time : 3/2/2022

Model Overview

This is a speech recognition model optimized for Hausa, fine-tuned based on the wav2vec2-large-xlsr-53 architecture and trained on the Common Voice dataset.

Model Features

Hausa optimization

Specially fine-tuned and optimized for Hausa speech recognition tasks

Based on XLSR architecture

Utilizes the cross-lingual speech representation (XLSR) architecture with powerful speech feature extraction capabilities

Low word error rate

Achieves a word error rate (WER) of 0.4826 on the evaluation set

Model Capabilities

Hausa speech recognition

Speech-to-text

Use Cases

Speech transcription

Hausa speech transcription

Convert Hausa speech to text

Word error rate 0.4826

Voice assistants

Hausa voice command recognition

For Hausa voice assistants or voice control applications

Training Loss	Epoch	Step	Validation Loss	Wer
6.1549	12.5	400	2.7289	1.0
2.0566	25.0	800	0.4582	0.6768
0.4423	37.5	1200	0.3037	0.5138
0.2991	50.0	1600	0.2993	0.4826

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Wav2vec2 Large Xlsr Hausa2 Demo Colab

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec2-large-xlsr-hausa2-demo-colab

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License