Continuous measurement of room impulse responses (RIRs) in the presence of an audience has many applications for room acoustics: in-situ loudspeaker/room equalization; teleconferencing; and for architectural acoustic diagnostics. A continuous analysis of the RIR is often preferable to a single measurement, especially with non-stationary room characteristics such as from changing atmospheric or audience conditions. This paper discusses the use of adaptive filters updated according to the NLMS algorithm for fast, continuous in-situ RIR acquisition; particularly when the input signal is music or speech. We show that the dual-channel FFT (DCFFT) method has slower convergence and is less robust to coloured signals such as music and speech. Data is presented comparing the NLMS and the DCFFT methods and we show that the adaptive filter approach provides RIRs with high accuracy and high robustness to background noise using music or speech signals.
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