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<h2>Evaluation Criteria</h2>
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The primary evaluation metric for the IqraEval system is the <strong>F1-score</strong> at the phoneme level. In addition, we adopt a hierarchical evaluation structure that breaks down performance into detection and diagnostic phases.
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<strong>Hierarchical Evaluation Structure:</strong>
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<em>(Detailed evaluation weights and scripts will be made available on June 5, 2025.)</em>
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<!-- Submission Details -->
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"<a href="https://arxiv.org/abs/2111.06331" target="_blank">Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset</a>,"
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<em>arXiv preprint arXiv:2111.06331</em>, 2021.
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<h2>Evaluation Criteria</h2>
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The primary evaluation metric for the IqraEval system is the <strong>F1-score</strong> at the phoneme level. In addition, we adopt a hierarchical evaluation structure, <a href="https://arxiv.org/pdf/2310.13974" target="_blank">MDD Overview</a>, that breaks down performance into detection and diagnostic phases.
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<strong>Hierarchical Evaluation Structure:</strong>
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</ul>
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<!-- Submission Details -->
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"<a href="https://arxiv.org/abs/2111.06331" target="_blank">Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset</a>,"
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<em>arXiv preprint arXiv:2111.06331</em>, 2021.
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El Kheir, Y., et al.
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"<a href="https://arxiv.org/pdf/2310.13974" target="_blank">Automatic Pronunciation Assessment - A Review</a>,"
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<em>arXiv preprint arXiv:2310.13974</em>, 2021.
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