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Wav2vec2 Cv Be

Developed by ales
An automatic speech recognition system fine-tuned on the Common Voice 8 Belarusian dataset based on facebook/wav2vec2-base model
Downloads 278
Release Time : 4/13/2022

Model Overview

This is an automatic speech recognition (ASR) model for Belarusian language, based on the wav2vec2 architecture and fine-tuned on the Belarusian portion of Mozilla Common Voice 8.0 dataset.

Model Features

High Accuracy Recognition
Achieves 12.4% word error rate on Common Voice 8 test set (with language model)
Language Model Integration
Includes a 5-gram language model built with KenLM, significantly improving recognition accuracy
Browser Compatibility
Provides interactive demo components that can run directly in browsers

Model Capabilities

Belarusian speech-to-text
Real-time speech recognition
Audio content transcription

Use Cases

Speech Transcription
Belarusian Speech Transcription
Convert Belarusian speech content into text
12.4% word error rate (test set)
Voice Assistants
Belarusian Voice Interaction
Provide recognition capability for Belarusian voice assistants
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