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Wav2vec2 Large Xlsr 53 Turkish

Developed by ceyda
This is an automatic speech recognition (ASR) model fine-tuned on the Turkish Common Voice dataset based on Facebook's wav2vec2-large-xlsr-53 model.
Downloads 54
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Turkish speech recognition tasks, capable of converting Turkish speech into text.

Model Features

High Accuracy Turkish Recognition
Achieves 27.59% WER (Word Error Rate) on the Common Voice Turkish test set
Based on XLSR Large Model
Fine-tuned from Facebook's wav2vec2-large-xlsr-53 model with powerful speech feature extraction capabilities
16kHz Sampling Rate Support
Supports 16kHz sampled audio input, suitable for most speech application scenarios

Model Capabilities

Turkish Speech Recognition
Speech-to-Text
Automatic Speech Transcription

Use Cases

Speech Transcription
Turkish Speech to Text
Convert Turkish speech content into editable text format
Word Error Rate 27.59%
Voice Assistants
Turkish Voice Command Recognition
For developing Turkish voice assistants and voice control applications
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