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Xtreme S Xlsr 300m Fleurs Langid

Developed by anton-l
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the GOOGLE/XTREME_S - FLEURS.ALL dataset for multilingual speech recognition tasks.
Downloads 17
Release Time : 4/6/2022

Model Overview

This is a multilingual speech recognition model based on the wav2vec2-xls-r-300m architecture, fine-tuned on the FLEURS.ALL dataset, supporting speech recognition tasks in multiple languages.

Model Features

Multilingual support
Supports speech recognition in 102 languages, including major and some niche languages
High accuracy
Achieves high recognition accuracy in multiple languages, such as Arabic (99.77%), Bengali (99.89%), etc.
Based on XLS-R architecture
Utilizes facebook's wav2vec2-xls-r-300m architecture with powerful speech feature extraction capabilities

Model Capabilities

Speech recognition
Multilingual processing
Language identification
Speech-to-text

Use Cases

Speech transcription
Multilingual meeting minutes
Used for real-time speech transcription in multilingual meetings
Supports accurate transcription in multiple languages
Voice assistants
Used as the speech recognition module for multilingual voice assistants
Can recognize user commands in multiple languages
Language learning
Pronunciation assessment
Used for pronunciation evaluation in language learning applications
Can assess pronunciation accuracy in multiple languages
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