The goal of a sound system design is to achieve good quality reproduced sound. The perception of this quality in quantitative terms depends on the loudness, frequency response, and construction of sound arriving at the listener. These factors are affected by both the acoustical environment and the sound system's performance. For speech signals, the index of quality is speech intelligibility; for music, the index is primarily frequency response and secondarily distortion. This paper shows that accurate predictions of speech intelligibility and sound pressure level must consider both phase and magnitude information for sound arriving at listener. Two prediction algorithms are described and validated by the results of tests made in real rooms. The algorithm to accurately predict MTF-STI is based on the fundamental principle of MTF-STI. The second algorithm, for the accurate calculation of sound pressure level, utilizes a digital filter response and digital signal processing techniques. Both algorithms are suitable for implementation in practical sound system design software for personal computers.
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