10. A method, comprising: analyzing, by an automatic speech recognition system, a corpus of audio data and transcription data corresponding to the corpus of audio data to determine a plurality of speaker types from the corpus of audio data and the corresponding transcription data; training the automatic speech recognition system for each of the plurality of speaker types; receiving audio data from an associated new user; determining a selected one of the plurality of speaker types based on the audio data received from the associated new user and a transcription of the audio received from the associated new user by the automatic speech recognition system; and transcribing, by the automatic speech recognition system, the audio data received from the associated new user based on the selected one of the plurality of speaker types.
10. A method, comprising: analyzing, by an automatic speech recognition system, a corpus of audio data and transcription data corresponding to the corpus of audio data to determine a plurality of speaker types from the corpus of audio data and the corresponding transcription data; training the automatic speech recognition system for each of the plurality of speaker types; receiving audio data from an associated new user; determining a selected one of the plurality of speaker types based on the audio data received from the associated new user and a transcription of the audio received from the associated new user by the automatic speech recognition system; and transcribing, by the automatic speech recognition system, the audio data received from the associated new user based on the selected one of the plurality of speaker types. 14. The method of claim 10 , wherein training the automatic speech recognition system is at least partially based on sub-words.