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Stochastic modeling of spectral adjustment for high quality pitch modification

机译:用于高质量音高修改的频谱调整的随机建模

摘要

Natural-sounding synthesized speech is obtained from pieced elemental speech units that have their super-class identities known (e.g. phoneme type), and their line spectral frequencies (LSF) set in accordance with a correlation between the desired fundamental frequency and the LSF vectors that are known for different classes in the super-class. The correlation between a fundamental frequency in a class and the corresponding LSF is obtained by, for example, analyzing the database of recorded speech of a person and, more particularly, by analyzing frames of the speech signal.
机译:从具有已知超类身份(例如音素类型),并根据所需基本频率和LSF向量之间的相关性设置其线谱频率(LSF)的分段基本语音单元中获取自然声音合成语音。在超类中以不同的类而闻名。通过例如分析人的记录语音的数据库,并且更具体地通过分析语音信号的帧,来获得类别中的基本频率与对应的LSF之间的相关性。

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