A new computer-based listener training application is described that trains listeners how to detect, classify and rate linear distortions added to program material. All signal processing is performed natively on the computer eliminating the need for expensive external hardware or large sound file libraries of pre-processed signals. The software adapts to the listeners' ability and performs automatic statistical analysis and storage of the results on a database server. It provides a useful tool for selecting the most discriminating and consistent listeners for listening tests and product evaluation.
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