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Automatic speech recognition (ASR) systems used in real indoor scenarios suffer from different noise and reverberation conditions compared to the training conditions. This article describes a study which aims to find out what are the most harming parts of reverberation to speech recognition. Noise influences are left out. Therefore different real room impulse responses in different rooms and different speaker to microphone distances are measured and modified. The results of the recognition experiments with the related convoluted impulse responses clearly show the dependency of early and late as well as high and low frequency reflections. Conclusions concerning the design of a dereverberation method are made.