Method for determining speech dataset, electronic device and storge medium

Abstract

The disclosure provides a method for determining a speech dataset, an apparatus and an electronic device, and relates to a field of artificial intelligence technologies, such as deep learning, natural language processing, speech technology and large model. The method includes: obtaining a set of speech fragments and obtaining texts corresponding to the speech fragments respectively; determining, for each of the speech fragments, a first emotion type of the speech fragment, an emotion intensity of the first emotion type, a second emotion type of a text corresponding to the speech fragment, and an emotion intensity of the second emotion type; determining whether to retain the speech fragment based on the first emotion type, the emotion intensity of the first emotion type, the second emotion type and the emotion intensity of the second emotion type; and determining a speech dataset based on speech fragments retained in the set of speech fragments and texts corresponding to the speech fragments retained. Whether or not to reserve the speech segment is determined based on the emotion intensity of the emotion type, which ensures the emotion intensity of the emotion type of the speech fragment in the speech dataset. Therefore, the speech synthesis model trained based on the speech dataset is able to synthesize speeches expressing real emotions.

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