Automatic language model update

A method for generating a speech recognition model, comprising:

• receiving at a search engine from a remote device an audio recording and a transcript that substantially represents at least a portion of the audio recording;
• synchronizing the transcript with the audio recording;
• extracting one or more letters from the transcript and extracting an associated pronunciation of the one or more letters from the audio recording;
• generating a dictionary entry in a pronunciation dictionary;
• and
• assigning probability weightings to the dictionary entries based on when the audio recording was generated.

A system for updating a language model, comprising:

• a request processor to receive text search terms that are from recent text search queries submitted by a plurality of users;
• an extractor for obtaining information from the recent text search queries, wherein the information (i) specifies a frequency of occurrence for one or more words in the recent text search queries and (ii) identifies when instances of the one or more words were received as text queries;
• and
• an updater for modifying a language model to revise probabilities of a word occurrence based on the information obtained from the recent text search queries, wherein the modification weights the influence of instances of the one or more words on the revised probabilities based on when the one or more words were received as text queries.