Patent Document ID: 8438030
Application ID: 12626101
Patent Flag: 1

Claim One:
1. A method of automated distortion classification, comprising the steps of: (a) receiving audio including a user speech signal and at least some distortion associated with the signal; (b) pre-processing the received audio using a pre-processor to generate acoustic feature vectors; (c) decoding the generated acoustic feature vectors using at least one distortion model including a plurality of distortion-related acoustic features representative of various types of distortion and used by the decoder to compare the acoustic feature vectors with the distortion-related acoustic features to produce a plurality of hypotheses for a type of the received distortion wherein the various types of distortion include ambient noise, transient noise, and electronics noise; (d) post-processing the plurality of hypotheses to identify the type of the received distortion; and (e) using the identified type of the distortion to modify the pre-processor to improve speech signal processing, including at least one of omitting acoustic features that correlate to the distortion type or using a subset of acoustic features available in the pre-processor.