We are happy to report that the project is now running at full steam. All the researchers (Ph.D. students, postdocs) employed by or affiliated with the project are now working on their respective topics. These are the following:
- Mahmoud Fakhry (Postdoc, Aalborg University) works on statistical methods for enhancing speech signals for improving the feature extraction for detection of Parkinson’s disease.
- Liming Shi (Ph.D. Student, Aalborg University) works on modeling of speech production and robust estimation from noisy recordings with the aim of extracting physically meaningful features.
- Amir Poorjam (Ph.D. Student, Aalborg University) works on automatic assessment of the quality and pre-processing of speech signals in audio archives.
- Alfredo Esquivel (Ph.D. Student, Aalborg University) works on a speech analysis toolbox for studying speech pathology, et.c., based on parametric methods and speech decompositions.
- Filip Elvander (Ph.D. Student, Lund University) works on methods for reconstruction of speech signals that have been damaged due to nonlinear phenomena such as packetlosses, compression, and clipping, using sparse methods.
We wil publish the results of our research here on the homepage and at the leading conferences (ICASSP, EUSIPCO, InterSpeech) and in the top journals (IEEE/ACM Trans. Audio, Speech, and Language Processing) along the way.