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

Developed by Samiul
This model is a Turkish speech recognition model fine-tuned on the common_voice Turkish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 32.08% on the evaluation set.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Turkish speech recognition#Multilingual support#High-accuracy speech transcription
Downloads 99
Release Time : 6/26/2022

Model Overview

An automatic speech recognition (ASR) model optimized for Turkish, fine-tuned from a large-scale pre-trained model based on the wav2vec 2.0 architecture.

Model Features

Turkish optimization
Specifically fine-tuned for Turkish speech recognition tasks
Large-scale pre-training foundation
Based on the 300M-parameter wav2vec2-xls-r pre-trained model
Efficient training
Optimized training efficiency using mixed-precision training and gradient accumulation techniques

Model Capabilities

Turkish speech recognition
Speech-to-text conversion

Use Cases

Speech transcription
Turkish speech transcription
Convert Turkish speech into text
Word error rate 32.08%
Voice assistants
Turkish voice command recognition
Used for command recognition in Turkish voice assistant systems
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