ADEPT：一个韵律迁移评价数据集
ADEPT: A Dataset for Evaluating Prosody Transfer
摘要：
文本到语音现在能够实现接近人类的自然性，研究重点已经转移到增加表达能力。一种流行的方法是从参考语音样本中转移韵律。有相当大的进步，使用韵律转移，以产生更有表现力的讲话，但该领域缺乏一个明确的定义是什么成功的韵律转移的手段和测量方法it.We介绍了一个数据集的韵律变化的参考自然语音样本评估韵律转移。样本包括反映情感和人际态度的整体变异，以及反映主题强调、命题态度、句法措辞和标记性的局部变异。语料库只包括韵律的变化，听众能够区分合理的准确性，我们报告这些数字作为一个基准，对文本到语音的韵律传输可以进行比较。最后，我们提出的评估方法，使用语料库来评估两个文本到语音模型，执行韵律转移的演示文件。
英文摘要：
Text-to-speech is now able to achieve near-human naturalness and research focus has shifted to increasing expressivity. One popular method is to transfer the prosody from a reference speech sample. There have been considerable advances in using prosody transfer to generate more expressive speech, but the field lacks a clear definition of what successful prosody transfer means and a method for measuring it. We introduce a dataset of prosodically-varied reference natural speech samples for evaluating prosody transfer. The samples include global variations reflecting emotion and interpersonal attitude, and local variations reflecting topical emphasis, propositional attitude, syntactic phrasing and marked tonicity. The corpus only includes prosodic variations that listeners are able to distinguish with reasonable accuracy, and we report these figures as a benchmark against which text-to-speech prosody transfer can be compared. We conclude the paper with a demonstration of our proposed evaluation methodology, using the corpus to evaluate two text-to-speech models that perform prosody transfer.
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