Bachelor-/ Master Thesis: »Deep learning based speech recognition in production«

Webseite Fraunhofer Institute for Production Technology IPT

Speech recognition is already applied in daily applications (e.g. voice mails). In production, the application of speech recognition is less realized. For that reason, the goal of the thesis is to identify and categorize use cases for speech recognition as well as demonstrate an exemplary use case based on publicly available data sets.

What you will do

  • Preparation of the state of the art regarding speech recognition
  • Development of a methodology for identifying and categorizing use cases for speech recognition in production
  • Implementation of deep learning algorithms for demonstration purposes
  • Validation and documentation of results

What you bring to the table

  • You are studying mechanical engineering, computer science, industrial engineering or a comparable subject
  • Experience in the field of deep learning is an advantage
  • A high degree of initiative and team spirit
  • Very good language skills in German and English

What you can expect

  • Ideal conditions for practical experience alongside your studies
  • Professional supervision and collaboration in a dedicated team
  • A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
  • Flexible working to combine study and job in the best possible way

Questions according to this position will be answered by:
Maik Frye M.Sc.
Group manager production quality
Phone: +49 241 8904-538

Um dich für diesen Job zu bewerben, besuche bitte jobs.fraunhofer.de.