Inhalt des Dokuments
Hamed Ketabdar, Ph.D.
General: Statistical Signal Processing, Machine Learning, Artificial Intelligence, Human-Computer Interaction
- Context and environment aware mobile devices
- Enhancing interaction with mobile devices
- Speech and Audio Processing: Speech Recognition, Keyword Spotting, Confidence Measurement, Language Modelling, Multi-modal Interaction, Information Retrieval/Extraction/Distillation, Translation, Automatic Annotation
- Speech intelligibility
- Dialogue modeling
For more details please visit my page at Deutsche Telekom Laboratories:
Hamed Ketabdar is a Senior Research Scientist at Quality and Usability Group, Deutsche Telekom Laboratories (T-Labs), Berlin, Germany. His main topic of research in T-labs is context aware applications for mobile phones. In order to recognize context, different modalities such as audio and sensory data are used. Recognition of context is then used to enhance behaviour and functionality of mobile phones, as well as designing new applications for security, health care and monitoring purposes.
He received his PhD in Automatic Speech Recognition from Swiss Federal Institute of Technology at Lausanne (EPFL). He was a research assistant in Speech group of Idiap Research Institute (www.idiap.ch) from 2004 to 2008. During PhD studies, his research has been mainly on using artificial neural networks for acoustic modelling in speech recognition systems.
Here you can find the most updated information and all details related to the course "Computer-Supported Interaction":
Lecture starts on 25.10.2013.
Old lecture slides can be found here.
I am currently looking for interns mainly in the fields related to customer analytics, behavior modeling, and machine learning. There are aslo several topics in related fields available for Master/Diploma/Bachelor thesis. Please contact me at email@example.com if you are interested. You can read more here.