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Sequence-to-sequence text-to-speech (TTS) is dominated by soft-attention-based methods. Recently, hard-attention-based methods have been proposed to prevent fatal alignment errors, but their sampling method of discrete alignment is poorly investigated. Th
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Effect Of Choice Of Probability Distribution, Randomness, And Search Methods For Alignment Modeling In Sequence-To-Sequence Text-To-Speech Synthesis Using Hard Alignment
Sequence-to-sequence text-to-speech (TTS) is dominated by soft-attention-based methods. Recently, hard-attention-based methods have been proposed to prevent fatal alignment errors, but their sampling method of discrete alignment is poorly investigated. Th