Main area of research
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.
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 …
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. …