CAREER: Extraction and Integration of Voice Source Features into the Acoustical Analysis of Spoken Affect

职业：语音源特征的提取和集成到言语情感的声学分析中

• 批准号: 0545772
• 负责人: Elliot Moore
• 金额: $ 50万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-02-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0545772&HistoricalAwards=false
• 关键词: CAREER; Extraction; Integration; Voice; Source

This CAREER project is focused on voice source extraction directly from recorded speech signals for the enhancement of acoustical models in speaker affect analysis. The project has four primary research goals. The first goal is the creation of new techniques in voice source estimation from the acoustic speech signal without the use of auxiliary devices (e.g., EGG's). This is accomplished through the development of metrics for assessing glottal quality and choosing estimates that reflect the best approximation of the voice source given the available speech data. A second goal is the automated parameterization of the voice source in both the time and frequency domain allowing the shape and characteristics of the voice source to be quantified for analysis. The third goal is to integrate the parameterized voice source into an acoustical framework for describing the characteristics of a speaker's affective/emotional state. Current databases consisting of representations of speaker emotion, deception, and stress are under analysis for the incorporation of voice source features not previously available. The final goal of the project is the creation and dissemination of a robust set of extraction and analysis tools of the voice source to the scientific community to encourage and enable the analysis of voice source parameters in all forms of speech research. The project contributes greatly to speech analysis applications by enhancing the theoretical knowledge of assessing the quality of voice source estimates and providing the tools to enhance the acoustical models of the voice. Additionally, the project allows for the design of educational demonstrations for outreach activities focused on improving community exposure to science and engineering research and increasing the participation of underrepresented groups.

该职业项目的重点是直接从记录的语音信号中提取语音源，以增强说话者影响分析中的声学模型。 该项目有四个主要的研究目标。 第一个目标是在不使用辅助设备（例如鸡蛋）的情况下，通过声音信号来创建语音源估计中的新技术。 这是通过开发指标来评估震颤质量和选择估计值来实现的，这些估计反映了鉴于可用的语音数据的最佳语音源近似。 第二个目标是语音源的自动参数化在时间和频域中，允许量化语音源的形状和特征进行分析。 第三个目标是将参数化的语音源集成到描述说话者情感/情感状态的特征的声学框架中。 当前的数据库包括说话者情感，欺骗和压力的表示形式，正在分析以前无法使用的语音源功能。 该项目的最终目标是将语音源的一组强大的提取和分析工具创建和传播给科学界，以鼓励和启用各种形式的语音研究中语音源参数的分析。 该项目通过增强评估语音源估计质量的理论知识并提供工具来增强声音的声学模型，从而为语音分析应用做出了巨大贡献。 此外，该项目允许设计用于推广活动的教育演示，重点是改善社区对科学和工程研究的曝光，并增加代表性不足的群体的参与。