1. A method of indexing a spoken document comprising speech data and text meta-data, the method comprising: using a processor to generate information pertaining to recognized speech from the speech data, the recognized speech comprising a sequence of textual words, the information comprising probabilities utilizing both a sum of length based probabilities and a word position probability to determine the words in the first sequence of words in the recognized speech and a position of each of the words in the first sequence of words; using the processor to generate information pertaining to a second sequence of words in the text meta-data the text meta-data comprising a sequence of textual words, the information including at least positional information of a position of each of the words in the second sequence of words in the text meta-data with the same format as the positional information of the position of each of the words in the first sequence of words in the recognized speech; using the processor to build an index based on processing text and the information pertaining to recognized speech including both the sum of length based probabilities and the word position probability and the information pertaining to the text meta-data wherein the index comprises position specific posterior lattices and wherein the position specific probability equals one for the text meta-data; using the processor to output the index.