wav2vec2-large-xls-r-300m-turkish-colab Open-source Model - Efficient Turkish Speech Recognition

Wav2vec2 Large Xls R 300m Turkish Colab

Developed by nimrah

This model is 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 #Low word error rate #XLS-R architecture

Downloads 19

Release Time : 3/2/2022

Model Overview

A speech recognition model optimized for Turkish, fine-tuned on the wav2vec2-xls-r-300m architecture and trained on the Common Voice dataset.

Model Features

Turkish optimization

Specially fine-tuned for Turkish speech recognition tasks

Based on large-scale pre-trained model

Built upon facebook/wav2vec2-xls-r-300m, inheriting its powerful speech feature extraction capabilities

Low word error rate

Achieved a word error rate (WER) of 1.0 on the evaluation set

Model Capabilities

Turkish speech recognition

Audio-to-text conversion

Use Cases

Speech transcription

Turkish speech-to-text

Convert Turkish speech content into text

Word error rate 1.0

Voice assistants

Turkish voice command recognition

Used for voice command recognition in Turkish voice assistants or smart home devices

Training Loss	Epoch	Step	Validation Loss	Wer
6.1837	3.67	400	3.2970	1.0
0.0	7.34	800	3.2970	1.0

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Wav2vec2 Large Xls R 300m Turkish Colab

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec2-large-xls-r-300m-turkish-colab

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