1. A method of entering text into a music system using a processor, comprising: recording speech presented by a user using a resident capture facility; providing the speech as a recording to a speech recognition facility; selecting at least one statistical language model, including a large vocabulary statistical language model, from a set of language models based at least in part on contextual information relating to the recording, wherein the at least one statistical language model selected includes a general language model for artists, a general language model for song titles, and a general language model for music types; determining that the at least one statistical language model selected provides insufficient recognition output and requires an additional recognition pass of the recording; conducting the additional recognition pass of the recording; selecting at least one other statistical language model based at least in part on the additional recognition pass of the recording and client state information of the recording; generating results utilizing the speech of the recording recognized by the speech recognition facility; and using the results in the music system, wherein the music system provides information relating to a music application to the speech recognition facility, wherein generating the results is based at least in part on the information, wherein the information relating to the music application includes contextual information within the music application, and wherein the contextual information includes at least one of a usage history of the music application and information from at least one of a favorites list and playlists of the user.