2. The method of claim 1 , wherein speech analytics apply contextual statistics to the plurality of transcription alternatives of each audio file.
1. A method of automated transcription model adaptation, the method comprising: obtaining audio data from a plurality of audio files; transcribing the audio data to produce at least one audio file transcription for each of the audio files, each audio file transcription representing a plurality of transcription alternatives for each audio file; applying speech analytics to each audio file transcription; developing the plurality of transcription alternatives by: associating time stamps from each respective audio file with nodes of a word lattice, said nodes connected by weighted arcs labeled with alternative output words, wherein the weight of each arc is a log-likelihood of a corresponding word in the respective audio file at the time represented by the time stamp; and recursively aligning the paths in the word lattice by averaging the time stamps and allowing only one path between any two nodes in the word lattice, said one path comprising a bin of all alternative output words matching the corresponding words in the audio file during an averaged time span; selecting a best transcription from the plurality of transcription alternatives for each audio file; calculating statistics from the selected best transcription of each audio file; and creating an adapted model from the calculated statistics.