Spoken Content Retrieval: A Survey of Techniques and Technologies

IF 8.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Foundations and Trends in Information Retrieval Pub Date : 2012-02-23 DOI:10.1561/1500000020

M. Larson, G. Jones

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引用次数: 81

Abstract

Speech media, that is, digital audio and video containing spoken content, has blossomed in recent years. Large collections are accruing on the Internet as well as in private and enterprise settings. This growth has motivated extensive research on techniques and technologies that facilitate reliable indexing and retrieval. Spoken content retrieval (SCR) requires the combination of audio and speech processing technologies with methods from information retrieval (IR). SCR research initially investigated planned speech structured in document-like units, but has subsequently shifted focus to more informal spoken content produced spontaneously, outside of the studio and in conversational settings. This survey provides an overview of the field of SCR encompassing component technologies, the relationship of SCR to text IR and automatic speech recognition and user interaction issues. It is aimed at researchers with backgrounds in speech technology or IR who are seeking deeper insight on how these fields are integrated to support research and development, thus addressing the core challenges of SCR.

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口语内容检索:技术与技术综述

语音媒体，即包含语音内容的数字音频和视频，近年来蓬勃发展。在Internet上以及在私人和企业设置中，大量的集合正在积累。这种增长推动了对促进可靠索引和检索的技术和技术的广泛研究。语音内容检索(SCR)需要将音频和语音处理技术与信息检索(IR)方法相结合。SCR研究最初调查了以文档式单位结构的计划演讲，但随后将重点转移到更非正式的自发演讲内容上，在演播室之外和会话环境中。本调查提供了SCR领域的概述，包括组件技术，SCR与文本IR和自动语音识别以及用户交互问题的关系。它的目标是具有语音技术或IR背景的研究人员，他们正在寻求更深入的见解，了解如何将这些领域集成到支持研究和开发中，从而解决SCR的核心挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Foundations and Trends in Information Retrieval COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

39.10

自引率

0.00%

发文量

期刊介绍： The surge in research across all domains in the past decade has resulted in a plethora of new publications, causing an exponential growth in published research. Navigating through this extensive literature and staying current has become a time-consuming challenge. While electronic publishing provides instant access to more articles than ever, discerning the essential ones for a comprehensive understanding of any topic remains an issue. To tackle this, Foundations and Trends® in Information Retrieval - FnTIR - addresses the problem by publishing high-quality survey and tutorial monographs in the field. Each issue of Foundations and Trends® in Information Retrieval - FnT IR features a 50-100 page monograph authored by research leaders, covering tutorial subjects, research retrospectives, and survey papers that provide state-of-the-art reviews within the scope of the journal.