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Wav2vec2 Xls R 300m Bp1 Es Eu

Developed by gttsehu
A fine-tuned Basque automatic speech recognition model based on facebook/wav2vec2-xls-r-300m, achieving a 3.67% word error rate on the Basque Parliament dataset
Downloads 49
Release Time : 1/5/2024

Model Overview

This is an automatic speech recognition model optimized for Basque parliamentary scenarios, based on the XLS-R architecture, particularly suitable for political speeches and meeting minutes in Basque.

Model Features

Low word error rate
Achieves only 3.67% word error rate on the Basque Parliament dataset, demonstrating excellent performance
Multi-GPU optimization
Utilizes 4-GPU distributed training, supporting efficient large-scale data processing
Domain adaptation
Specifically optimized for political speech scenarios, adapting to the special vocabulary and expressions in parliamentary meetings

Model Capabilities

Basque speech-to-text
Automatic meeting minutes generation
Political speech recognition

Use Cases

Government meeting records
Automatic parliamentary meeting transcription
Automatically transcribes Basque parliamentary meeting content to generate text records
Accuracy rate of 96.33% (WER 3.67%)
Speech archive digitization
Historical meeting audio transcription
Converts stored historical audio recordings of Basque Parliament into searchable text
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