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.

这个职业项目的重点是直接从记录的语音信号中提取语音源，以增强说话人情感分析中的声学模型。该项目有四个主要研究目标。第一个目标是在不使用辅助设备(例如，EGG)的情况下从声学语音信号中创建新的声源估计技术。这是通过开发用于评估声门质量的度量并选择反映给定可用语音数据的声源的最佳近似值的估计来实现的。第二个目标是语音源在时间域和频域中的自动参数化，允许量化语音源的形状和特征以供分析。第三个目标是将参数化声音源集成到声学框架中，用于描述说话人的情感/情感状态的特征。目前由说话者情绪、欺骗和重音表示组成的数据库正在分析中，以纳入以前不可用的语音源特征。该项目的最终目标是创建并向科学界传播一套可靠的语音源提取和分析工具，以鼓励和支持在所有形式的语音研究中分析语音源参数。该项目通过增强评估语音源估计质量的理论知识并提供增强语音声学模型的工具，极大地促进了语音分析应用。此外，该项目还允许为宣传活动设计教育示范，这些活动的重点是改善社区对科学和工程研究的接触，并增加代表性不足群体的参与。