wav2vec2-xls-r-300m-Br-small Open-source Model - Free Deployment and Support for Breton Speech Recognition

Wav2vec2 Xls R 300m Br Small

Developed by emre

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Common Voice dataset, supporting Breton (br) speech recognition tasks.

Speech Recognition

Transformers

OtherOpen Source License:Apache-2.0 #Portuguese speech recognition #Low-resource optimization #XLS-R architecture

Downloads 17

Release Time : 3/2/2022

Model Overview

This is a speech recognition model optimized for Breton, fine-tuned based on the wav2vec2-xls-r-300m architecture, suitable for Automatic Speech Recognition (ASR) tasks.

Model Features

Breton Optimization

Specifically fine-tuned for Breton, improving recognition accuracy for this language.

Based on XLS-R Architecture

Uses facebook's wav2vec2-xls-r-300m as the base model, featuring powerful speech feature extraction capabilities.

Trained on Common Voice Dataset

Fine-tuned on the Common Voice dataset, ensuring data diversity and quality.

Model Capabilities

Speech-to-text

Breton speech recognition

Automatic Speech Recognition

Use Cases

Speech Transcription

Breton Speech Transcription

Convert Breton speech content into text

Achieves a 66.75% Word Error Rate (WER) on the test set.

Voice Assistants

Breton Voice Assistant

Provide voice interaction functionality for Breton speakers

Training Loss	Epoch	Step	Validation Loss	Wer
5.7464	2.79	400	1.7474	1.1018
1.1117	5.59	800	0.9434	0.8697
0.6481	8.39	1200	0.9251	0.7910
0.4754	11.19	1600	0.9208	0.7412
0.3602	13.98	2000	0.9284	0.7232
0.2873	16.78	2400	0.9299	0.6940
0.2386	19.58	2800	1.0182	0.6927
0.1971	22.38	3200	1.0456	0.6898
0.1749	25.17	3600	1.0208	0.6769
0.1487	27.97	4000	1.0573	0.6675

Property	Details
Model Type	wav2vec2-xls-r-300m-Br-small
Training Data	common_voice
Tags	generated_from_trainer, robust-speech-event, hf-asr-leaderboard
Results	Task: Speech Recognition (automatic - speech - recognition), Dataset: Common Voice br (common_voice, args: br), Test WER: 66.75

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Wav2vec2 Xls R 300m Br Small

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