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Wav2vec2 Large Xls R 300m Turkish Colab
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Wav2vec2 Large Xls R 300m Turkish Colab

Developed by patrickvonplaten
A speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m
Speech Recognition
Transformers
Open Source License:Apache-2.0#Turkish speech recognition#Multilingual support#Low word error rate
Downloads 18
Release Time : 3/2/2022

Model Overview

This model is an automatic speech recognition (ASR) model optimized for Turkish, fine-tuned based on the XLS-R architecture, suitable for Turkish speech-to-text tasks

Model Features

Turkish optimization
Specially fine-tuned for Turkish speech characteristics to improve recognition accuracy
Based on XLS-R architecture
Utilizes the large-scale cross-lingual speech representation learning architecture developed by Facebook
Medium-sized model
300M parameter size strikes a balance between accuracy and computational efficiency

Model Capabilities

Turkish speech recognition
Speech-to-text
Audio content transcription

Use Cases

Speech transcription
Turkish meeting minutes
Automatically convert Turkish meeting recordings into text transcripts
Word error rate 35.7%
Voice assistant
Speech recognition module for Turkish voice assistants
Education
Language learning applications
Help learners practice Turkish pronunciation and listening
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