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This paper presents a way to calculate the perceived importance of speech segments as a single value criterion, using a linear regression model. Unlike the commonly used voice activity detection (VAD) algorithms, this method allows us to obtain a finer priority granularity of speech segments. This can be used in conjunction with frequency scalable speech coding techniques and IP QoS techniques to achieve efficient and quality-controlled voice transmission. A simple linear regression model is used to calculate the estimated mean opinion score (MOS) of the various cases of missing speech segments.