State mapping based method for cross-lingual speaker adaptation in HMM-based speech synthesis

A phone mapping-based method had been introduced forcross-lingual speaker adaptation in HMM-based speech synthesis.In this paper, we continue to propose a state mapping basedmethod for cross-lingual speaker adaptation. In this method,we firstly establish the state mapping between two voice modelsin source and target languages using Kullback-Leibler divergence(KLD). Based on the established mapping information,we introduce two approaches to conduct cross-lingual speakeradaptation, including data mapping and transform mapping approaches.From the experimental results, the state mappingbased method outperformed the phone mapping based method.In addition, the data mapping approach achieved better speakersimilarity, and the transform mapping approach achieved betterspeech quality after adaptation