4. The method of claim 1 wherein the acoustical language identification comprises the steps of: i. extracting an at least one acoustic feature vector from the audio segment; j. scoring the at least one acoustic feature vector against an acoustic model constructed upon audio data spoken in a particular language, to yield a first score; k. scoring the at least one acoustic feature vector against an acoustic model constructed upon audio data spoken in languages other than the particular language, to yield a second score; and l. if the first score exceeds the second score, or if the first score exceeds the second score by at least a predetermined threshold or percentage, indicating the particular language as the selected language.
4. The method of claim 1 wherein the acoustical language identification comprises the steps of: i. extracting an at least one acoustic feature vector from the audio segment; j. scoring the at least one acoustic feature vector against an acoustic model constructed upon audio data spoken in a particular language, to yield a first score; k. scoring the at least one acoustic feature vector against an acoustic model constructed upon audio data spoken in languages other than the particular language, to yield a second score; and l. if the first score exceeds the second score, or if the first score exceeds the second score by at least a predetermined threshold or percentage, indicating the particular language as the selected language. 5. The method of claim 4 further comprising repeating steps j, k, and l for a second particular language.