In 2000, the Signal Processing and Speech Communication Laboratory (SPSC Lab) of Graz University of Technology (TU Graz) was founded as a research and education center in nonlinear signal processing and computational intelligence, algorithm engineering, as well as circuits & systems modeling and design. It covers applications in wireless communications, speech/audio communication, and telecommunications.

If you want to learn more about Signal Processing, click: "What is Signal Processing?"

The Research of SPSC Lab addresses fundamental and applied research problems in five scientific areas:


Result of the Month December 2018

Previous results of the month


Early diagnosis of idiopathic pulmonary fibrosis (IPF) is of increasing importance, due to recent success to slow down the disease progression. Auscultation is a helpful mean for early diagnosis of IPF. Auscultatory findings for IPF are fine (or velcro) crackles during inspiration, which are heard over affected areas.

We present a computer-aided approach for the diagnosis of IPF. In particular, we present a method for event detection in single-channel lung sound recordings. This includes the detection of crackles and breathing phase events (inspiration/expiration). Therefore, we propose an event detection approach with spectral features and bidirectional gated recurrent neural networks (BiGRNNs). In our experiments, we use multi-channel lung sound recordings from lung-healthy subjects and patients diagnosed with idiopathic pulmonary fibrosis, collected within a clinical trial. We achieve an event-based F-score of F1≈86% for breathing phase events and F1≈72% for crackles. The proposed method shows robustness regarding the contamination of the lung sound recordings with noise, bowel and heart sounds.