### Open-source wav2vec2-latino40 speech recognition model - Free deployment supports Latin language speech processing

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Wav2vec2 Latino40

Developed by cristinakuo

A speech recognition model fine-tuned based on facebook/wav2vec2-base, supporting Latin language speech processing

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Spanish speech recognition #Low-resource optimization #wav2vec2 fine-tuning

Downloads 17

Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of facebook/wav2vec2-base on an unspecified dataset, primarily used for speech recognition tasks. Evaluation results show a word error rate (WER) of 1.0.

Model Features

Efficient speech recognition

Based on the wav2vec2 architecture, providing efficient speech recognition capabilities

Fine-tuning optimization

Fine-tuned on the base model, possibly optimized for specific speech features

Low word error rate

Achieved a word error rate of 1.0 on the evaluation set

Model Capabilities

Speech recognition

Audio to text conversion

Use Cases

Speech processing

Speech transcription

Convert speech content into text

Word error rate 1.0

Voice assistant

Serve as the backend recognition engine for voice assistants

Training Loss	Epoch	Step	Validation Loss	Wer
5.6846	0.83	100	2.9086	1.0
2.8686	1.67	200	2.8922	1.0
2.8805	2.5	300	2.9326	1.0
2.8613	3.33	400	2.8698	1.0
2.8643	4.17	500	2.9027	1.0
2.8688	5.0	600	2.9544	1.0
2.8689	5.83	700	2.8914	1.0
2.8558	6.67	800	2.8762	1.0
2.8537	7.5	900	2.8982	1.0
2.8522	8.33	1000	2.8820	1.0
2.8468	9.17	1100	2.8760	1.0
2.8454	10.0	1200	2.8795	1.0

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Wav2vec2 Latino40

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec2-latino40

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License