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State-of-the-Art Persian Automatic Speech Recognition

Developed and trained state-of-the-art models for Persian Automatic Speech Recognition, achieving a record-low 4.59% Word Error Rate (WER)—a 78% relative improvement over initial baselines. This work, which produced the best Persian ASR models to date, involved creating a massive 10,000-hour proprietary dataset and building scalable data processing pipelines.
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