Utterance copy through analysis-by-synthesis using genetic algorithm

摘要

Background Utterance copy consists in estimating the input parameters to reconstruct a speech signal using a speech synthesizer. This process is distinct from the more traditional text-to-speech but yet used in many areas, especially in linguistics and health. Utterance copy is a difficult inverse problem because the mapping is non-linear and from many to one. It requires considerable amount of time to manually perform utterance copy and automatic methods, such as the one proposed here, are of interest.