This paper presents a speech summarizer that summarizes input speech via several prosodic features, unlike models that use a speech recognizer and conventional summarizing techniques proposed in natural language processing. Our approach analyzes the borders of summary units by employing prosodic features of pitch, power, and pause to summarize the input speech. Our summary generation trial implies robustness against noisy input compared with both a sequential connection model of a speech recognizer and a text summarizer.