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

Developed by BSen
A Turkish speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m
Speech Recognition
Transformers
Open Source License:Apache-2.0#Turkish speech recognition#XLS-R architecture#Low-resource optimization
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is specifically optimized for Turkish speech recognition, fine-tuned from Facebook's wav2vec2-xls-r-300m architecture.

Model Features

Turkish optimization
Fine-tuned specifically for Turkish speech characteristics to improve recognition accuracy
Large-scale pretraining
Fine-tuned from the 300M-parameter wav2vec2-xls-r-300m model with powerful speech feature extraction capabilities
Colab compatible
The model name indicates its suitability for use in Google Colab environment

Model Capabilities

Turkish speech recognition
Speech-to-text
Audio content analysis

Use Cases

Speech transcription
Turkish meeting minutes
Automatically convert Turkish meeting recordings into text transcripts
Voice assistant
Provide voice interaction functionality for Turkish users
Education
Language learning assistance
Help Turkish language learners with pronunciation evaluation and correction
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