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This paper studies using Whisper for Persian speech emotion recognition, showing PCA-based dimensionality reduction improves performance and efficiency, while ASR fine-tuning offers only modest gains.
This paper introduces TajPersLexon, a lexical resource for Tajik-Persian cross-script NLP, and benchmarks hybrid models against neural baselines to demonstrate effective low-resource processing.