Spoken document understanding and organization

Lin-shan Lee, B. Chen

IEEE Signal Processing Magazine · 2005 · 141 citations · 50 references

Concepts

TL;DR

Spoken documents are best understood and reorganized for easy retrieval and browsing, typically presented as short paragraphs with hierarchical visual organization, titles, summaries, and topic labels that enable content‑based or metadata‑based search. This article aims to provide a concise, comprehensive, and integrated overview of related areas within spoken document understanding and organization for efficient retrieval and browsing. The authors also present an initial prototype system developed at National Taiwan University that integrates various technologies and functionalities to demonstrate this unified approach.

Abstract

Spoken documents (or associated multimedia content) are in fact better understood and reorganized in a way that retrieval/browsing can be performed easily. For example, they are now in the form of short paragraphs, properly organized in some hierarchical visual presentation with titles/summaries/topic labels as references for retrieval and browsing. The retrieval can be performed based on the full content, the summaries/titles/topic labels, or both. In this article, this is referred to as spoken document understanding and organization for efficient retrieval/browsing applications. The purpose of this article is to present a concise, comprehensive, and integrated overview of related areas in a unified context of spoken document understanding and organization for efficient retrieval/browsing applications. In addition, we present an initial prototype system we developed at National Taiwan University as a new example of integrating the various technologies and functionalities.

References

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