1. A method comprising: analyzing acoustic features of a received audio signal from a caller of a communication device; identifying, based on a previously recorded time and a previously recorded speed of the caller of the communication device, in combination with the acoustic features, a repeating pattern of meta-data associated with the acoustic features; classifying a background environment of the caller based on the acoustic features and the repeating pattern of meta-data, to yield a background environment classification; prompting the caller to perform one of: speaking more slowly, speaking more clearly, and moving to a quieter location based on the background environment classification; selecting an acoustic model matched to the background environment classification from a plurality of acoustic models, each of the plurality of acoustic models being generated for a particular predefined background environment classification; and performing speech recognition on the received audio signal using the acoustic model.
1. A method comprising: analyzing acoustic features of a received audio signal from a caller of a communication device; identifying, based on a previously recorded time and a previously recorded speed of the caller of the communication device, in combination with the acoustic features, a repeating pattern of meta-data associated with the acoustic features; classifying a background environment of the caller based on the acoustic features and the repeating pattern of meta-data, to yield a background environment classification; prompting the caller to perform one of: speaking more slowly, speaking more clearly, and moving to a quieter location based on the background environment classification; selecting an acoustic model matched to the background environment classification from a plurality of acoustic models, each of the plurality of acoustic models being generated for a particular predefined background environment classification; and performing speech recognition on the received audio signal using the acoustic model. 9. The method of claim 1 , where the meta-data comprises one of global positioning system coordinates, elevation, automatic number identification information, computing device identification number (comprised of an internet protocol address or MAC address), uniform resource locator address, individual environmental habits, personal profile information, time, and rate of movement.