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Wav2vec2 Base Common Voice Fa Demo Colab
This model is a Persian speech recognition model fine-tuned based on facebook/wav2vec2-base, suitable for Persian speech-to-text tasks.
Downloads 15
Release Time : 4/18/2022
Model Overview
This is a speech recognition model optimized for Persian, based on the wav2vec2 architecture and fine-tuned on the Common Voice Persian dataset.
Model Features
Persian Optimization
Specially fine-tuned for Persian speech characteristics
Based on wav2vec2 Architecture
Uses Facebook's wav2vec2-base as the base model
Low Word Error Rate
Achieved a word error rate of 1.0 on the evaluation set
Model Capabilities
Persian speech recognition
Speech-to-text
Use Cases
Speech Transcription
Persian Speech Transcription
Convert Persian speech content into text
Word error rate 1.0
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