6. In a speech analysis apparatus for recognizing at least one spoken keyword in an audio signal, each keyword being characterized by a template having at least one target pattern, a method for forming reference patterns representing a previously unknown keyword comprising the steps of: providing speaker independent reference patterns representing spoken keywords previously known to the apparatus, determining beginning and ending boundaries of said unknown keyword using said speaker independent reference patterns, and training the speech analysis apparatus, using the beginning and ending boundaries previously determined by said apparatus for said previously unknown keyword, to generate statistics describing said previously unknown keyword.
6. In a speech analysis apparatus for recognizing at least one spoken keyword in an audio signal, each keyword being characterized by a template having at least one target pattern, a method for forming reference patterns representing a previously unknown keyword comprising the steps of: providing speaker independent reference patterns representing spoken keywords previously known to the apparatus, determining beginning and ending boundaries of said unknown keyword using said speaker independent reference patterns, and training the speech analysis apparatus, using the beginning and ending boundaries previously determined by said apparatus for said previously unknown keyword, to generate statistics describing said previously unknown keyword. 8. The method of claim 6 wherein the training step comprises the steps of: dividing an incoming audio signal corresponding to said previously unknown keyword into a plurality of subintervals using said boundaries, forcing each subinterval to correspond to a unique reference pattern, repeating said dividing and forcing steps upon a plurality of audio input signals representing the same keyword, generating statistics describing the reference pattern associated with each subinterval, and making a second pass through said audio input signals representing said previously unknown keyword, using said assembled statistics, for providing machine generated subintervals for said keyword.