Automated Large-Scale Phonetic Analysis: DASS Pilot

词典和语法中包含的关于语言的概括掩盖了说话者实际使用语言的方式的广泛差异。然而，现代技术现在使得使用自动化手段从口语面试中提取发音差异成为可能。这项研究项目使用可用的软件处理了来自佛罗里达州、佐治亚州、田纳西州、阿拉巴马州、密西西比州、路易斯安那州、阿肯色州和得克萨斯州的64名说话者在1968-1983年间的访谈。这些访谈构成了海湾国家发言者的地域和社会样本。采访的所有文字记录、元音发音数据和可视化将在语言地图集项目的网站上公布。关于实际说话人变化的详细数据涉及目前用于语音识别和语音合成的工业方法。该项目将是针对声学语音数据的复杂系统模型的首次大规模测试。传统采访包括超过200 GB的文件，其中包含372小时的数字音频采访。在第一阶段的研究中，将从78个不同的词中提取元音发音，这些词是访谈中的启发目标，加上在访谈中经常出现的其他词，如颜色词，总共多达300个词。得到的数据集每次采访将有大约22,500个元音标记，整个数据集有近1,500,000个标记，这是关于南美英语的一个非常大的语料库。该项目的第二阶段将创建这些符号的可视化，以确定每个说话者、社会类别和地理区域元音实现的差异维度。复杂系统科学将被用作分析中的一个模型，它预测在被分析的群体中发生的广泛的实现将被自组织成非线性分布模式。元音变化全范围的提取和显示有可能改进用于语音识别和语音合成的工业方法，因为它提供了说话人和组的实际变化的详细视图，而不是假设一致的或平均的？元音的实现。

Generalizations about language contained in dictionaries and grammars hide the extensive variation in the way that speakers actually use language. However, modern technology now makes it possible to use automated means to extract variation in pronunciation from spoken interviews. This research project uses available software to process sixty-four interviews with speakers from Florida, Georgia, Tennessee, Alabama, Mississippi, Louisiana, Arkansas, and Texas recorded from 1968-1983. These interviews constitute a geographic and social sample of speakers across the Gulf States. All of the transcriptions of the interviews, the vowel pronunciation data, and the visualizations will be presented on the website of the Linguistic Atlas Project. Detailed data on actual speaker variation addresses the industrial methods currently used for speech recognition and speech synthesis.This project will be the first large-scale test of the complex systems model against acoustic phonetic data. The legacy interviews consist of over 200 Gb of files containing 372 hours of digital audio interviews. In the first stage of the research, vowel pronunciations will be extracted from a list of seventy-eight different words that were elicitation targets in the interviews, plus additional words found to occur frequently in the interviews such as color terms, up to a total of three hundred words. The resulting data set will have approximately 22,500 vowel tokens per interview, nearly 1,500,000 tokens across the data set, a very large corpus of data on Southern American English. The second stage of the project will create visualizations of these tokens to determine the dimensions of variation in the realization of vowels per speaker, social category, and geographic area. The science of complex systems will be employed as a model in the analysis, which predicts that the wide range of realizations that occurs in the groups under analysis will be self-organized into nonlinear distributional patterns. The extraction and display of the full range of vowel variation has the potential to improve industrial methods used for both speech recognition and speech synthesis, as it offers a detailed view of actual variation for speakers and groups rather than assuming a consistent or ?average? realization of vowels.