SPEECH RECOGNITION USING A PERSONAL VOCABULARY AND LANGUAGE MODEL

In one implementation, speech or audio is converted to a searchable format by a speech recognition system. The speech recognition system uses a language model including probabilities of certain words occurring, which may depend on the occurrence of other words or sequences of words. The language model is partially built from personal vocabularies. Personal vocabularies are determined by known text from network traffic, including emails and Internet postings. The speech recognition system may incorporate the personal vocabulary of one user into the language model of another user based on a connection between the two users. The connection may be triggered by an email, a phone call, or an interaction in a social networking service. The speech recognition system may remove or add personal vocabularies to the language model based on a calculated confidence score from the resulting language model.