In this paper an improved method for detection of focus accents is presented. The focus detection algorithm works with a rule-based approach. The main information source is the fundamental frequency F0 of an utterance. Results for the original version are 79 % recognition rate and 67 % average recognition rate for spontaneous speech. By integration of additional information like phrase boundaries and sentence mode, recognition rate increases by about 3 to 4 percent, depending on the dialogue.