1. A method of speech recognition comprising the steps of: grouping acoustics to form classes based on acoustic features; clustering training speakers by the classes to provide class-specific cluster systems; selecting from the cluster systems, a subset of cluster systems closest to adaptation data from a speaker; transforming the subset of cluster systems to bring the subset of cluster systems closer to the speaker based on the adaptation data to form adapted cluster systems; and combining the adapted cluster systems to create a speaker adapted system for decoding speech from the speaker.
1. A method of speech recognition comprising the steps of: grouping acoustics to form classes based on acoustic features; clustering training speakers by the classes to provide class-specific cluster systems; selecting from the cluster systems, a subset of cluster systems closest to adaptation data from a speaker; transforming the subset of cluster systems to bring the subset of cluster systems closer to the speaker based on the adaptation data to form adapted cluster systems; and combining the adapted cluster systems to create a speaker adapted system for decoding speech from the speaker. 6. The method of speech recognition as recited in claim 1, wherein the step of transforming further comprises transforming the subset of cluster systems to adapt the subset of cluster systems with a speaker independent system.