2. A computer-implemented speech detection method for detecting desired speech segments in an audio stream, the method comprising: a) generating a plurality of features from an audio stream; b) obtaining a plurality of time-alignments based on the features; c) processing the plurality of time-alignments; d) determining a desired speech segment based on the plurality of time-alignments; e) determining whether there is at least one non-desired speech segment; and f) outputting an output stream that includes the desired speech segment and omits the at least one non-desired speech segment, wherein generating the plurality of features comprises performing signal processing on the audio stream and analyzing overlapping or non-overlapping windows of the audio stream to gather at least one metric on the plurality of features, wherein the at least one metric comprises a number of times the feature is greater than a standard deviation determined for the feature.
2. A computer-implemented speech detection method for detecting desired speech segments in an audio stream, the method comprising: a) generating a plurality of features from an audio stream; b) obtaining a plurality of time-alignments based on the features; c) processing the plurality of time-alignments; d) determining a desired speech segment based on the plurality of time-alignments; e) determining whether there is at least one non-desired speech segment; and f) outputting an output stream that includes the desired speech segment and omits the at least one non-desired speech segment, wherein generating the plurality of features comprises performing signal processing on the audio stream and analyzing overlapping or non-overlapping windows of the audio stream to gather at least one metric on the plurality of features, wherein the at least one metric comprises a number of times the feature is greater than a standard deviation determined for the feature. 4. The computer-implemented speech detection method of claim 2 , wherein the at least one metric relates to a spread for the feature.