Paper#speech processing, text segmentation, natural language processing🔬 ResearchAnalyzed: Jan 3, 2026 09:23
Paragraph Segmentation for Speech Transcripts
Published:Dec 30, 2025 23:29
•1 min read
•ArXiv
Analysis
This paper addresses the problem of unstructured speech transcripts, making them more readable and usable by introducing paragraph segmentation. It establishes new benchmarks (TEDPara and YTSegPara) specifically for speech, proposes a constrained-decoding method for large language models, and introduces a compact model (MiniSeg) that achieves state-of-the-art results. The work bridges the gap between speech processing and text segmentation, offering practical solutions and resources for structuring speech data.
Key Takeaways
- •Introduces paragraph segmentation as a crucial step for structuring speech transcripts.
- •Provides new benchmarks (TEDPara and YTSegPara) specifically for the speech domain.
- •Proposes a constrained-decoding method for LLMs to insert paragraph breaks.
- •Presents a compact and efficient model (MiniSeg) for paragraph segmentation.
- •Aims to standardize paragraph segmentation as a practical task in speech processing.
Reference
“The paper establishes TEDPara and YTSegPara as the first benchmarks for the paragraph segmentation task in the speech domain.”