Speech Translation Task

Speech translation aims to directly convert spoken language in one language to spoken language in another, bridging communication barriers. Current research focuses on improving end-to-end models, which directly translate speech without intermediate text transcription, alongside cascaded systems combining automatic speech recognition, machine translation, and text-to-speech. Key challenges include handling noisy audio, limited training data for low-resource languages, and maintaining naturalness and speaker characteristics in the output speech. Advances in this field have significant implications for global communication, particularly in healthcare and multilingual settings.