1. A method for generating a speaker model for use in detecting a speaker of interest, the method implemented by instructions embodied in one or more non-transitory computer accessible storage media and executable by a processor, the method comprising: identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers by: obtaining a plurality of speech samples, the plurality of speech samples comprising a set of speech samples from the speaker of interest and a plurality of additional speech samples from the plurality of impostor speakers; extracting a plurality of speech features from the plurality of speech samples; and ranking the plurality of speech features according to an ability to distinguish the speaker of interest from the plurality impostor speakers, wherein the ranking comprises: modeling one or more speech features within one or more regions; and assigning a performance measure to the one or more speech features subsequent to the modeling, wherein the performance measure for an associated one of the one or more speech features represents a strength with which the associated one of the one or more speech features accurately distinguishes the speaker of interest from the plurality of impostor speakers; wherein at least one signal indicative of the identified one or more speech features is provided to a software application to generate the speaker model; and detecting, by the software application, the speaker of interest based on the generated speaker model.
1. A method for generating a speaker model for use in detecting a speaker of interest, the method implemented by instructions embodied in one or more non-transitory computer accessible storage media and executable by a processor, the method comprising: identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers by: obtaining a plurality of speech samples, the plurality of speech samples comprising a set of speech samples from the speaker of interest and a plurality of additional speech samples from the plurality of impostor speakers; extracting a plurality of speech features from the plurality of speech samples; and ranking the plurality of speech features according to an ability to distinguish the speaker of interest from the plurality impostor speakers, wherein the ranking comprises: modeling one or more speech features within one or more regions; and assigning a performance measure to the one or more speech features subsequent to the modeling, wherein the performance measure for an associated one of the one or more speech features represents a strength with which the associated one of the one or more speech features accurately distinguishes the speaker of interest from the plurality of impostor speakers; wherein at least one signal indicative of the identified one or more speech features is provided to a software application to generate the speaker model; and detecting, by the software application, the speaker of interest based on the generated speaker model. 6. The method of claim 1 , wherein the one or more speech features includes at least one of: a cepstral feature, a prosodic feature, or a signal processing-based feature.