A computer-implemented method of training a neural network for a loudspeaker control system, the method comprising: receiving, via a sensor, a measured system output of a loudspeaker and a reverberant environment in which the loudspeaker is disposed, wherein the measured system output is generated by applying an input stimulus to the loudspeaker; extracting a head portion and tail portion from the measured system output, wherein the head portion includes a measured output of the loudspeaker and the tail portion includes a response of the reverberant environment; determining an inverse of the response of the reverberant environment; generating the deconvolution filter based on the inverse of the response; applying the deconvolution filter to the measured system output to generate a filtered loudspeaker response; applying the input stimulus to a neural network to generate a neural network output that approximates the filtered loudspeaker response; comparing the filtered loudspeaker response to the neural network output to determine an error value; and training the neural network to generate an updated neural network output based on the input stimulus and the error value; wherein determining the inverse of the response of the reverberant environment comprises: computing an impulse response function for the reverberant environment based on the tail portion, transforming the impulse response function for the reverberant environment into a spectrum in the frequency domain, inverting the spectrum to create an inverted spectrum, and transforming the inverted spectrum to the time domain; or computing a first impulse response function for the loudspeaker based on the head portion, computing a second impulse response function for the loudspeaker while disposed in the reverberant environment based on the measured system output, transforming the first impulse response function into a first spectrum in the frequency domain, transforming the second impulse response function into a second spectrum in the frequency domain, dividing the first spectrum by the second spectrum to obtain a result, and transforming the result into the time domain. receiving, via a sensor, a measured system output of a loudspeaker and a reverberant environment in which the loudspeaker is disposed, wherein the measured system output is generated by applying an input stimulus to the loudspeaker; extracting a head portion and tail portion from the measured system output, wherein the head portion includes a measured output of the loudspeaker and the tail portion includes a response of the reverberant environment; determining an inverse of the response of the reverberant environment; generating the deconvolution filter based on the inverse of the response; applying the deconvolution filter to the measured system output to generate a filtered loudspeaker response; applying the input stimulus to a neural network to generate a neural network output that approximates the filtered loudspeaker response; comparing the filtered loudspeaker response to the neural network output to determine an error value; and training the neural network to generate an updated neural network output based on the input stimulus and the error value; wherein determining the inverse of the response of the reverberant environment comprises: computing an impulse response function for the reverberant environment based on the tail portion, transforming the impulse response function for the reverberant environment into a spectrum in the frequency domain, inverting the spectrum to create an inverted spectrum, and transforming the inverted spectrum to the time domain; or computing a first impulse response function for the loudspeaker based on the head portion, computing a second impulse response function for the loudspeaker while disposed in the reverberant environment based on the measured system output, transforming the first impulse response function into a first spectrum in the frequency domain, transforming the second impulse response function into a second spectrum in the frequency domain, dividing the first spectrum by the second spectrum to obtain a result, and transforming the result into the time domain. computing an impulse response function for the reverberant environment based on the tail portion, transforming the impulse response function for the reverberant environment into a spectrum in the frequency domain, inverting the spectrum to create an inverted spectrum, and transforming the inverted spectrum to the time domain; or computing a first impulse response function for the loudspeaker based on the head portion, computing a second impulse response function for the loudspeaker while disposed in the reverberant environment based on the measured system output, transforming the first impulse response function into a first spectrum in the frequency domain, transforming the second impulse response function into a second spectrum in the frequency domain, dividing the first spectrum by the second spectrum to obtain a result, and transforming the result into the time domain.