Speech Translation System

Speech translation systems aim to directly convert spoken language in one language to written text in another, bypassing the intermediate step of transcription. Current research heavily focuses on end-to-end models, often leveraging pre-trained foundation models and techniques like synthetic data augmentation to overcome data scarcity challenges, particularly for low-resource languages. These advancements, including explorations of direct translation's ability to utilize prosodic information, are improving accuracy and efficiency, with a notable shift towards methods that better integrate acoustic features into the translation process. This work holds significant potential for improving cross-lingual communication and accessibility across various applications.