From the plot, observe that you achieved about a 35 dB ERLE at the end of the convergence period.ĪECScope2.Title = 'Output of Acoustic Echo Canceller mu=0.04' ĪECScope2.Title = 'Echo Return Loss Enhancement mu=0.04' Since you have access to both the near-end and far-end speech signals, you can compute the echo return loss enhancement (ERLE), which is a smoothed measure of the amount (in dB) that the echo has been attenuated. % Far-end speech signal echoed by the roomįarSpeechEchoSrc.SamplesPerFrame = frameSize NearSpeechSrc.SamplesPerFrame = frameSize įarSpeechSrc.SamplesPerFrame = frameSize 'BufferLength', length(x)) ĪECScope1.Title = 'Near-End Speech Signal' ĪECScope1.Title = 'Output of Acoustic Echo Canceller mu=0.025' ĪECScope1.Title = 'Echo Return Loss Enhancement mu=0.025' 'TimeSpan', 35, 'TimeSpanOverrunAction', 'Scroll'. 'LayoutDimensions',, 'TimeSpanSource', 'Property'. 'Method', 'Unconstrained FDAF') ĪECScope1 = timescope(4, fs. % Construct the Frequency-Domain Adaptive FilterĮchoCanceller = dsp.FrequencyDomainAdaptiveFilter( 'Length', 2048.
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