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Wav2vec2 Base Timit Demo Colab
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Wav2vec2 Base Timit Demo Colab

Developed by nadaAlnada
A speech recognition model fine-tuned on the common_voice dataset based on anas/wav2vec2-large-xlsr-arabic
Speech Recognition
Transformers
Open Source License:Apache-2.0#Arabic speech recognition#XLSR fine-tuned model#Low-resource speech processing
Downloads 16
Release Time : 3/2/2022

Model Overview

This model is a speech recognition model primarily used for converting speech to text. Based on the wav2vec2 architecture, it was fine-tuned on the common_voice dataset.

Model Features

Based on wav2vec2 architecture
Utilizes the advanced wav2vec2 architecture for speech recognition tasks
Fine-tuned on Common Voice dataset
Fine-tuned on the Common Voice dataset to enhance recognition performance
Linear learning rate scheduling
Uses a linear learning rate scheduler during training to optimize training effectiveness

Model Capabilities

Speech-to-text
Automatic speech recognition

Use Cases

Speech transcription
Automatic meeting minutes transcription
Automatically converts meeting recordings into text transcripts
Voice note conversion
Converts voice memos into editable text
Assistive technology
Voice input system
Provides voice input solutions for people with disabilities
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