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Quantitative systematic analysis of vocal tract data

机译：声道数据的定量系统分析

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摘要

Articulatory data can nowadays be obtained using a wide range of techniques, with a notable emphasis on imaging modalities such as ultrasound and real-time magnetic resonance, resulting in large amounts of image data. One of the major challenges posed by these large datasets concerns how they can be efficiently analysed to extract relevant information to support speech production studies. Traditional approaches, including the superposition of vocal tract profiles, provide only a qualitative characterisation of notable properties and differences. While providing valuable information, these methods are rather inefficient and inherently subjective. Therefore, analysis must evolve towards a more automated, replicable and quantitative approach. To address these issues we propose the use of objective measures to compare the configurations assumed by the vocal tract during the production of different sounds. The proposed framework provides quantitative normalised data regarding differences covering meaningful regions under the influence of various articulators. An important part of the framework is the visual representation of the data, proposed to support analysis, and depicting the differences found and corresponding direction of change. The normalised nature of the computed data allows comparison among different sounds and speakers in a common representation. Representative application examples, concerning the articulatory characterisation of European Portuguese vowels, are presented to illustrate the capabilities of the proposed framework, both for static configurations and the assessment of dynamic aspects during speech production.
机译：如今，可以使用多种技术来获得关节运动数据，其中特别强调成像模式（例如超声和实时磁共振），从而产生大量图像数据。这些大型数据集带来的主要挑战之一是如何有效地分析它们以提取相关信息以支持语音生成研究。传统方法，包括声道轮廓的叠加，仅提供了显着特性和差异的定性表征。这些方法在提供有价值的信息的同时，效率很低并且固有地具有主观性。因此，分析必须朝着更加自动化，可复制和定量的方向发展。为了解决这些问题，我们建议使用客观的措施来比较在产生不同声音时声道所假定的配置。所提出的框架提供了关于标准化的数据，这些数据涉及在各种咬合架的影响下覆盖有意义区域的差异。框架的重要部分是数据的视觉表示，旨在支持分析并描述发现的差异和相应的变化方向。计算数据的归一化性质允许以共同表示比较不同声音和说话者。提出了有关欧洲葡萄牙语元音发音特征的代表性应用示例，以说明所提出框架的功能，包括静态配置和语音生成过程中动态方面的评估。

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  • 来源
    《Computer speech and language》 |2016年第3期|307-329|共23页
  • 作者

    Samuel Silva; Antonio Teixeira;

  • 作者单位

    Dep. Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Aveiro, Portugal,Inst. Electronics Eng. and Telematics of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal,IEETA, Campus Univ. de Santiago, 3810-193 Aveiro, Portugal;

    Dep. Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Aveiro, Portugal,Inst. Electronics Eng. and Telematics of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vocal tract analysis; Quantitative comparison; RT-MRI;

    机译：声道分析;定量比较;核磁共振;

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