The quadratic memory complexity of self-attention has generally restricted Transformer- based models to utterance-based speech processing, preventing models from leveraging …
H Shang, Z Li, J Guo, S Li, Z Rao, Y Luo, D Wei… - arXiv preprint arXiv …, 2024 - arxiv.org
Abstractive Speech Summarization (SSum) aims to generate human-like text summaries from spoken content. It encounters difficulties in handling long speech input and capturing …
In our increasingly interconnected world, where speech remains the most intuitive and natural form of communication, spoken language processing systems face a crucial …