Trainable Speech Synthesis Based on Trajectory Modeling of Line Spectrum Pair Frequencies
نویسنده
چکیده
In this paper we present a novel speaker-dependent speech synthesis algorithm based on modeling temporal trajecto-ries of the speech Line Spectrum Pair Frequencies (LSFs). The overall approach is integrated into a pitch-synchronous analysis/synthesis framework and is shown to allow the synthesis of speaker-dependent voice characteristics through an automatic parameter learning algorithm.
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تاریخ انتشار 1998