RI: Medium: New Tools and Methods for Very-Large-Scale Phonetics Research

RI：中：超大规模语音研究的新工具和方法

• 批准号: 0964556
• 负责人: Jiahong Yuan
• 金额: $ 44.99万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0964556&HistoricalAwards=false
• 关键词: RI; Medium; New; Tools; Methods

The field of phonetics has experienced two revolutions in the last century: the advent of the sound spectrograph in the 1950s and the application of computers beginning in the 1970s. Today, advances in digital multimedia, networking and mass storage are promising a third revolution: a movement from the study of small, individual datasets to the analysis of published corpora that are several orders of magnitude larger.These new bodies of data are badly needed, to enable the field of phonetics to develop and test hypotheses across languages and across the many types of individual, social and contextual variation. However, in contrast to speech technology research, speech science has so far taken relatively little advantage of this opportunity, because access to these resources for phonetics research requires tools and methods that are now incomplete, untested, and inaccessible to most researchers.This project fills this gap by integrating, adapting and improving techniques developed in speech technology research, mainly forced alignment of digital audio with phonetic representations derived from orthographic transcripts. The research will help the field of phonetics to enter a new era: conducting research using very large speech corpora, in the range from hundreds of hours to hundreds of thousands of hours.

语音学领域在上个世纪经历了两次革命：20世纪50年代声谱仪的出现和20世纪70年代计算机的应用。今天，数字多媒体、网络和大容量存储方面的进步预示着第三次革命的到来：从对小型、独立数据集的研究转向对大几个数量级的已出版语料库的分析。这些新的数据体是迫切需要的，以使语音学领域能够发展和测试跨语言和跨多种类型的个人、社会和上下文差异的假设。然而，与语音技术研究相比，语音科学迄今为止还没有充分利用这一机会，因为要获得这些语音研究资源所需要的工具和方法现在是不完整的，未经测试的，而且大多数研究人员都无法获得。该项目通过整合、调整和改进语音技术研究中开发的技术来填补这一空白，主要是将数字音频与来自正字法转录本的语音表示强制对齐。这项研究将帮助语音学领域进入一个新的时代：使用非常大的语音语料库进行研究，从数百小时到数十万小时不等。