Cross-modal audio-text attention for multimodal multitask speech emotion recognition in low-resource Urdu
Researchers have developed a new multimodal multitask model for speech emotion recognition in Urdu, achieving high accuracy by combining audio and text analysis. The framework demonstrates strong cross-lingual transfer capabilities and robustness against speaker bias.
Why it matters
Advancements in low-resource language processing are critical for making AI tools more inclusive and effective for non-English speaking populations.
Scientific Reports ( 2026 ) Cite this article
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