An End-to-End Speech Summarization Using Large Language Model

Abstractive Speech Summarization (SSum) aims to generate human-like text summaries from spoken content. It encounters difficulties in handling long speech input and capturing the intricate cross-modal mapping between long speech inputs and short text summaries. Research on large language models (LLM...

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Bibliographische Detailangaben

Hauptverfasser:	Shang, Hengchao, Li, Zongyao, Guo, Jiaxin, Li, Shaojun, Rao, Zhiqiang, Luo, Yuanchang, Wei, Daimeng, Yang, Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Sound
Online-Zugang:	Volltext bestellen
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