Open-source model wav2vec2-large-xls-r-300m-turkish-colab - Accurately implement Turkish speech recognition

Wav2vec2 Large Xls R 300m Turkish Colab

Developed by masapasa

This model is a Turkish speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m.

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Release Time : 3/2/2022

Model Overview

This is a speech recognition model optimized for Turkish, based on the wav2vec2 architecture, suitable for converting Turkish audio into text.

Turkish optimization

Specially fine-tuned for Turkish, improving recognition accuracy for the Turkish language.

Based on a large model

Built on the 300-million-parameter wav2vec2-xls-r-300m model, with strong speech feature extraction capabilities.

Common Voice dataset

Trained using the Common Voice dataset, ensuring good data diversity.

Turkish speech recognition

Audio-to-text conversion

Speech transcription

Turkish meeting minutes

Automatically convert Turkish meeting recordings into written transcripts.

Voice assistant

Provide speech recognition capabilities for Turkish voice assistants.

Education

Language learning applications

Assist Turkish language learners in practicing pronunciation and listening.

Property	Details
learning_rate	0.0003
train_batch_size	16
eval_batch_size	8
seed	42
gradient_accumulation_steps	2
total_train_batch_size	32
optimizer	Adam with betas=(0.9,0.999) and epsilon=1e - 08
lr_scheduler_type	linear
lr_scheduler_warmup_steps	50
num_epochs	30
mixed_precision_training	Native AMP

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