15. A system including a continuous speech recognition engine hosted on a server that cooperates with a language identification engine, comprising: an input to receive supplied audio files from a client machine over a wide area network to the server hosting the continuous speech recognition engine; and wherein the language identification engine includes a front end module having an input to receive the supplied audio files, a universal phoneme decoder to identify phonemes and phoneme sequences in the audio files in each of two or more candidate languages, and a run-time language identifier module to receive the phonemes and phoneme sequences from the universal phoneme decoder, generate as an output from the universal phoneme decoder a stream of the identified phonemes and phoneme sequences for each of the two or more candidate languages, wherein the streams include a first stream of phonemes from the identified phonemes for a first of the two or more candidate languages, and a second stream of phonemes from the identified phonemes for a second of the two or more candidate languages, determine a confidence rating on an accuracy of an identification of the first candidate language of the two or more candidate languages for the first stream and an accuracy of an identification of the second candidate language of the two or more candidate languages for the second stream, and identify at least one of a particular spoken human language and a specific dialect of a spoken human language being spoken in the supplied audio files based on the confidence ratings.
15. A system including a continuous speech recognition engine hosted on a server that cooperates with a language identification engine, comprising: an input to receive supplied audio files from a client machine over a wide area network to the server hosting the continuous speech recognition engine; and wherein the language identification engine includes a front end module having an input to receive the supplied audio files, a universal phoneme decoder to identify phonemes and phoneme sequences in the audio files in each of two or more candidate languages, and a run-time language identifier module to receive the phonemes and phoneme sequences from the universal phoneme decoder, generate as an output from the universal phoneme decoder a stream of the identified phonemes and phoneme sequences for each of the two or more candidate languages, wherein the streams include a first stream of phonemes from the identified phonemes for a first of the two or more candidate languages, and a second stream of phonemes from the identified phonemes for a second of the two or more candidate languages, determine a confidence rating on an accuracy of an identification of the first candidate language of the two or more candidate languages for the first stream and an accuracy of an identification of the second candidate language of the two or more candidate languages for the second stream, and identify at least one of a particular spoken human language and a specific dialect of a spoken human language being spoken in the supplied audio files based on the confidence ratings. 19. The system of claim 15 , wherein the continuous speech recognition engine further comprises: a triggering and synchronization module to analyze call center audio conversations and identify when certain words of interest are spoken, wherein the triggering and synchronization module is to direct a user on the client machine to a time segment containing those words matching the words of interest and allow the user to listen to a segment of the supplied audio files associated with when those words of interest are spoken in the supplied audio files.