Despite the numerous challenges posed by the use of AI within the university, LLMs can frequently make time-consuming work easier for us. For example, LLM-based services can not only enhance accessibility through speech recognition, but also create interview transcripts in the realm of research, saving many hours of work compared to manual transcription. <\/p>\n\n\n\n
To support members of the university with this type of task, the ‘Teaching without Barriers’<\/a> sub-project, funded by the LInK project<\/a>, is now offering the use of the Amberscript license<\/strong> to researchers and students for they own transcription projects until the end of May 2025<\/strong>. Amberscript is a browser-based software program that uses speech recognition to convert spoken language into text. This enables researchers, lecturers and students to automatically produce transcriptions of recorded material (e.g., research interviews or recordings of their own courses) or to create subtitles for their videos (e.g., in the field of teaching, counselling or public relations).<\/p>\n\n\n\n Amberscript complies with data protection regulations and can be used for materials in Dutch, English, French, German, Portuguese, Spanish, Danish, Italian, Norwegian, Finnish and Swedish.<\/p>\n\n\n\n Members of the university can request an account and hours from the university time allotment through the form<\/strong><\/a>. The form page also contains further information, such as how Amberscript can support accessibility or how to create accessible teaching videos. <\/p>\n\n\n\n Please contact Dr. Kristina Schneider<\/a> for further advice or if you have any questions!<\/strong><\/p>\n\n\n\n