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A new technique has been developed to automatically detect rub defects in loudspeakers using digital processing. Loudspeakers are tested near resonance with a high level signal. The response is analyzed using an FFT and a unique post processing algorithm. A personal computer equipped with a multimedia sound card is used to generate test signals and to record the responses of loudspeaker drivers. The system is fast, reliable, economical, and inherently immune to background noises.

The performance of automotive sound systems is compromised by the effects of acoustic noise. Digital techniques are necessary to measure the noise in a car accurately and to predict the effects of masking. It will be shown that it is possible to predict and reverse the effects of noise induced masking. The following paper will describe a system that modifies music signals to compensate for these effects. The system is similarly effective on music and speech.