1. A compressed domain language identification method comprising: receiving a bitstream of a sequence of packets at one or more computing devices; classifying each packet into speech or non-speech based upon, at least in part, compressed domain voice activity detection (VAD); extracting a pseudo-cepstral representation from the speech detected packets and partially decoding without extracting a PCM format; generating a sequence of multi-frames, based upon, at least in part, the pseudo-cepstral representation; and providing in real time the sequence of multi-frames to a deep neural network (DNN), wherein the DNN has been trained off-line for one or more desired target languages.