We propose SegAugment, a data augmentation strategy that creates multiple sentence-level variations from document-level speech data, leading to significant performance gains in …
We propose Supervised Hybrid Audio Segmentation (SHAS), a method that learns optimal speech segmentation from manually segmented data. SHAS significantly improves translation …
Our submission to the IWSLT 2021 shared task details an end-to-end speech translation system combining large pretrained models with adapters for efficient fine-tuning. By training …