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Wav2vec2 Xls R 300m Rm Vallader D1

Developed by DrishtiSharma
This is an automatic speech recognition model fine-tuned on the Romansh-Vallader dataset based on the facebook/wav2vec2-xls-r-300m model.
Downloads 23
Release Time : 3/2/2022

Model Overview

This model is specifically designed for automatic speech recognition tasks in Romansh-Vallader and has achieved good performance on the Common Voice 8 dataset.

Model Features

Multilingual support
Speech recognition capabilities specifically optimized for Romansh-Vallader
Efficient training
Fine-tuned based on pre-trained models with high training efficiency
Good performance
Achieved a word error rate (WER) of 26.47% and a character error rate (CER) of 5.86% on the Common Voice 8 test set

Model Capabilities

Speech-to-text
Romansh-Vallader recognition

Use Cases

Speech transcription
Speech content transcription
Convert Romansh-Vallader speech content into text
26.47% WER
Voice assistant
Localized voice assistant
Develop voice assistant applications for Romansh-Vallader speaking regions
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