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Wav2vec2 Xlsr 1b Ru

Developed by RASMUS
A Russian automatic speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-1b
Downloads 41
Release Time : 3/2/2022

Model Overview

This is an optimized automatic speech recognition (ASR) model for Russian, based on the 1-billion-parameter XLS-R architecture, fine-tuned on the Common Voice 8 Russian dataset, capable of converting Russian speech into text.

Model Features

Large-scale Pretrained Architecture
Based on the 1-billion-parameter XLS-R architecture with powerful speech feature extraction capabilities
Russian Language Optimization
Specifically fine-tuned for Russian speech characteristics, adapting to Russian pronunciation and grammar features
Multi-dataset Validation
Performance validated on multiple datasets including Common Voice and Robust Speech Event

Model Capabilities

Russian speech recognition
Speech-to-text
Automatic speech transcription

Use Cases

Speech Transcription
Russian Speech to Text
Convert Russian speech content into editable text format
Achieved a WER of 10.83% on the Common Voice test set
Voice Assistants
Russian Voice Command Recognition
Used for voice command recognition in Russian voice assistants and smart home devices
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