Translating speech with just images
<|reference_start|>Translating speech with just images: Visually grounded speech models link speech to images. We extend this connection by linking images to text via an existing image captioning system, and as a result gain the ability to map speech audio directly to text. This approach can be used for speech translation with just images by having the audio in a different language from the generated captions. We investigate such a system on a real low-resource language, Yor\`ub\'a, and propose a Yor\`ub\'a-to-English speech translation model that leverages pretrained components in order to be able to learn in the low-resource regime. To limit overfitting, we find that it is essential to use a decoding scheme that produces diverse image captions for training. Results show that the predicted translations capture the main semantics of the spoken audio, albeit in a simpler and shorter form.<|reference_end|>
@article{oneata2024translating,
    title={Translating speech with just images},
    author={Dan Oneata, Herman Kamper},
    journal={arXiv preprint arXiv:2406.07133},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.07133},
    primaryClass={eess.AS cs.CL cs.SD}
}