  We present a spectrogram separation method tailored for mixtures comprising
two nonstationary components. By exploiting the unique characteristics of their
time-frequency representations, we propose an inverse problem formulation to
estimate the spectrograms of the components. We then introduce an alternating
optimization algorithm that ensures the consistency of the estimated
spectrograms. The efficacy of the algorithm is evaluated through testing on
synthetic mixtures and is applied to a bioacoustic signal.
