Contribute to speech pattern research
Our research team is conducting a scientific study on Danish conversational patterns. Native speakers are invited to participate in 7 recorded discussion sessions, contributing valuable data to language processing algorithms.
Scientific Participation
Join our academic study where Danish speakers contribute to language AI research through natural conversation sessions. Your participation advances linguistic science.
Academic Study Design
Participate in a structured research protocol with casual conversation sessions designed by linguistic researchers.
Preserve Danish Linguistics
Contribute vital linguistic data ensuring Danish language patterns and dialects are accurately represented in scientific research.
Flexible Research Schedule
Complete study sessions according to your academic availability. Our research protocol accommodates participant scheduling needs.
This research study follows ethical guidelines for linguistic data collection. Participants receive a research honorarium upon completion of the study protocol.
How the Project Works
Participating is simple. You and a conversation partner will record seven 20-minute sessions using our easy-to-use app. Here's how the process works:
Find a Partner
Invite a friend, family member, or colleague who is also a native Danish speaker to join you in this project.
Install the App
Download our application on your mobile phones. The app is available on both Android and iOS platforms.
Record Conversations
Have natural conversations on everyday topics. Each session lasts just 20 minutes and can be done at times convenient for both of you.
Complete 7 Sessions
Talk about different topics in each session. Our app provides conversation prompts if you need inspiration.
Conversation Topics
Your conversations can cover a variety of everyday subjects. Some example topics include:
Project Requirements
Join the Danish Conversation Project
Help shape the future of AI by recording natural conversations in Danish. Your participation will contribute to better language understanding technology.
