Simon Graf

Simon Graf
research category image

Main area of research
Speech enhancement

Simon Graf is a PhD researcher at the speech enhancement group in Ulm, Germany. He is registered as a PhD student at the Kiel University, Kiel, Germany. The topic of his research is Robust Voice Activity Detection for Non-Stationary Background Noise. The scope of his work includes feature extraction and classification for voice activity detection.

Selected articles

Listening Test to Determine the Mismatch Between Signal-to-Noise Ratio and Human Perception

Evaluations of speech enhancement systems are typically based on artificially generated noisy speech signals. A common approach to quantify the weighting of speech and background

Read more

Improved performance measures for voice activity detection

Voice activity detection is an essential part of many speech processing algorithms. The requirements of the speech application determine the design of voice activity detection.

Read more


1 2