New Article Published: The Dynamics of Indexical Information in Speech
We are thrilled to announce the publication of the EU research paper titled "Speaking the Language of Voice Recognition" by Volker Dellwo and the project team! This paper explores the fundamental aspects of voice recognition, focusing on how speakers deliberately control their vocal properties to meet communicative needs.
The research, funded by the Swiss National Science Foundation (SNSF), highlights that voice-specific properties are dynamic and strategically modulated. This challenges the previous notion that voice recognition relies solely on static features.
Key insights include:
- The role of speaker-specific properties in various contexts, such as political speech and deceptive communication.
- The impact of infant-directed speech (IDS) on caregiver recognizability.
- The use of AI, machine learning, and neuroscientific methods to analyze voice data.
- Computational modelling to identify dominant dimensions in voice recognition.
The recordings for this study were conducted in the lab of the Linguistic Research Infrastructure (LiRI) at the University of Zurich.
Project Team Members
- Prof. Dr. Volker Dellwo
- Dr. Elisa Pellegrino
- Alessandro De Luca
- Leah Bradshaw
- Valeriia Perepelytsia
- Dr. Thayabaran Kathiresan
For more detailed information, you can access the full article published on July 2, 2024, by Blazon Publishing and Media Ltd, available here.
Voice recognition processes are fundamental to human social interaction, enabling us to rapidly identify a speaker and participate in discourse. This study, supported by SNSF, explores new hypotheses about how we recognize speakers.