1. isolated phrase recognition in which translating controller 205 is capable of recognizing a discrete set of phrases;

2. connected word recognition in which translating controller 205 is capable of recognizing a discrete set of phrases (as above), but is also capable of recognizing fluent sequences of these phrases (e.g., successive digits in a

particular subscriber’s PIN); or

3. continuous speech recognition in which a system is trained on a discrete set of sub-word vocabulary units (e.g., phonemes), but is required to recognize fluent speech.

Returning to FIG. 5, translating controller 205, in response to selectively comparing data patterns 405 and the measurable characteristics, generates a proposed text message and assigns a confidence factor either to a proposed text

message as a whole or to one or more of the sub-parts thereof (process step 515). The generated text message is a concatenation of data patterns 405 representing those sub-parts or group(s) of Gmail Numeric Code 6922 issue sub-parts that, separately or collectively,

compare most favorably with the same.

Translating controller 205 compares the one or more confidence factors and at least one threshold (process step 520). The term “threshold,” as it is used herein, is defined broadly as any indicator that renders the recognition accuracy

of a sub-part, group of sub-parts, multiple groups of sub-parts, or the proposed text message as a whole, one of acceptable or unacceptable, such as a “ceiling” or “floor” value, as examples.