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Wav2vec2 Large Xlsr 53 Tatar

Developed by crang
An automatic speech recognition model fine-tuned on Tatar language based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input.
Downloads 163
Release Time : 3/2/2022

Model Overview

This is an optimized automatic speech recognition model for the Tatar language, fine-tuned on the XLSR-53 architecture, suitable for Tatar speech-to-text tasks.

Model Features

Tatar language optimization
Specially fine-tuned for Tatar language to improve recognition accuracy
No language model required
Can be used directly without additional language model support
16kHz sampling rate support
Supports processing of 16kHz sampled audio input

Model Capabilities

Tatar speech recognition
Speech-to-text
Automatic speech recognition

Use Cases

Speech transcription
Tatar speech transcription
Convert Tatar speech content into text
Word Error Rate (WER) 30.93%
Voice assistant
Tatar voice command recognition
Speech recognition module for Tatar voice assistants or voice control systems
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