1. A system for transcribing spoken words from multiple users to text, the system comprising: at least one audio transducer that receives spoken words and generates speech signals corresponding thereto; at least one user interface through which users can receive and send signals; at least one data structure containing word data correlating text representations of words to speech signals wherein the at least one data structure includes dialect parameter data that can be used to recognize selected dialects corresponding to selected users; and a processor that receives the speech signals from the at least one audio transducer wherein the processor initially sends signals to the users via the at least one user interface asking the users questions indicative of the users' dialects to thereby induce the users to provide answer signals to the processor that are indicative of dialect parameters and wherein the processor thereafter compares the received speech signals to the word data in the at least one data structure to produce text representations corresponding to the spoken words and associates received speech signals from the users with the corresponding text representation and stores the associations and wherein the processor analyses the received speech signals and determines distinguishing dialectal characteristics of the received speech signals and wherein the processor uses the distinguishing dialectal characteristics to identify the text representations associated with the received speech signals corresponding to each user.