L. Ferrer, L. Burget, O. Plchot, and N. Scheffer, “A unified approach for audio characterization and its application to speaker recognition,” in Proc. Odyssey 2012: The Speaker and Language Recognition Workshop, pp. 317-323.
Systems designed to solve speech processing tasks like speech or speaker recognition, language identification, or emotion detection are known to be affected by the recording conditions of the acoustic signal, like the channel, background noise, reverberation, and so on. Knowledge of the nuisance characteristics present in the signal can be used to improve performance of the system. In some cases, the nature of these nuisance characteristics is known a priori, but in most practical cases it is not.