10. An apparatus for speaker recognition, the apparatus comprising: an estimation module configured to estimate respective uncertainties of acoustic coverage of at least one speech utterance by a first speaker and at least one speech utterance by a second speaker, the acoustic coverage representing respective sounds used by the first speaker and by the second speaker when speaking; a processor; and a memory, with computer code instructions stored thereon, wherein the processor and the memory, with the computer code instructions stored thereon, are configured to cause the apparatus to: represent the respective uncertainties of acoustic coverage in a manner that allows for efficient memory usage by discarding dependencies between uncertainties of different sounds for the first speaker and for the second speaker to improve speaker recognition performance of the processor; and represent the respective uncertainties of acoustic coverage in a manner that allows for efficient computation by representing an inverse of the respective uncertainties of acoustic coverage and then discarding the dependencies between the uncertainties of different sounds for the first speaker and for the second speaker to further improve the speaker recognition performance of the processor; and a scoring module configured to compute a score between the at least one speech utterance by the first speaker and the at least one speech utterance by the second speaker in a manner that leverages the respective uncertainties of the acoustic coverage during the comparison, the score being indicative of a likelihood that the first speaker and the second speaker are the same speaker.
10. An apparatus for speaker recognition, the apparatus comprising: an estimation module configured to estimate respective uncertainties of acoustic coverage of at least one speech utterance by a first speaker and at least one speech utterance by a second speaker, the acoustic coverage representing respective sounds used by the first speaker and by the second speaker when speaking; a processor; and a memory, with computer code instructions stored thereon, wherein the processor and the memory, with the computer code instructions stored thereon, are configured to cause the apparatus to: represent the respective uncertainties of acoustic coverage in a manner that allows for efficient memory usage by discarding dependencies between uncertainties of different sounds for the first speaker and for the second speaker to improve speaker recognition performance of the processor; and represent the respective uncertainties of acoustic coverage in a manner that allows for efficient computation by representing an inverse of the respective uncertainties of acoustic coverage and then discarding the dependencies between the uncertainties of different sounds for the first speaker and for the second speaker to further improve the speaker recognition performance of the processor; and a scoring module configured to compute a score between the at least one speech utterance by the first speaker and the at least one speech utterance by the second speaker in a manner that leverages the respective uncertainties of the acoustic coverage during the comparison, the score being indicative of a likelihood that the first speaker and the second speaker are the same speaker. 12. The apparatus of claim 10 , wherein the processor and the memory, with the computer code instructions stored thereon, are configured to cause the apparatus to: receive a set of signals corresponding to a set of speech utterances; compute, for each speech utterance of the set of speech utterances, the representations of the respective uncertainties of acoustic coverage in the memory and computationally efficient manners by computing a corresponding identity vector (i-vector), a diagonalized approximation of a covariance matrix of the corresponding i-vector, and a diagonalized approximation of an equivalent precision matrix associated with the corresponding i-vector; and compute the score based on the i-vectors, the diagonalized approximations of covariance matrices, and the diagonalized approximations of equivalent precision matrices computed, the score being indicative of a likelihood of a correspondence between the set of utterances received and a speaker.