REHS 628
Advanced Research in Voice Science III
Duquesne University · UGRD · Fall 2026
Catalog description
Building upon the foundation laid in Advanced Research in Voice Science II, this graduate course delves deeper into the interdisciplinary field of voice science by focusing on the latest advancements in research methodologies and emerging technologies. Students will explore innovative techniques and tools in voice production, acoustics, psychoacoustics, and voice perception, while further developing their understanding of the human voice in both normal and pathological contexts. Throughout the course, students will gain hands-on experience with cutting-edge technologies in voice research, such as artificial intelligence, machine learning, and advanced signal processing. These technologies will be employed to analyze and quantify voice data, allowing students to gain a deeper understanding of the complexities of the human voice. Students will also develop advanced skills in designing and conducting research projects that address current challenges in vocology. This includes identifying gaps in the existing literature, formulating research questions, selecting appropriate methodologies, and analyzing and interpreting results. Emphasis will be placed on the ethical considerations and implications of using new technologies in voice research. In addition to exploring advanced research methods, students will strengthen their skills in critically evaluating studies and in preparing and presenting their research findings in various formats, such as academic journals, conference presentations, and grant proposals. By the end of this course, students will have a comprehensive understanding of the latest advancements in voice science research and will be equipped to contribute to the growing body of knowledge in this exciting and evolving field.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verified- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff