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Unlocking ASR Potential for Under-Resourced Languages: A Comparative Study of Semi-Supervised Approaches for Accurate Unlabeled Data Transcription

Title: Unlocking ASR Potential for Under-Resourced Languages: A Comparative Study of Semi-Supervised Approaches for Accurate Unlabeled Data Transcription
Authors: Mahmoud, Abdullah; ElSayed, Ahmed S.; Fayed, Z. T.
Source: 2025 International Conference on Machine Intelligence and Smart Innovation (ICMISI) Machine Intelligence and Smart Innovation (ICMISI), 2025 International Conference on. :274-279 May, 2025
Relation: 2025 International Conference on Machine Intelligence and Smart Innovation (ICMISI)
Database: IEEE Xplore Digital Library