Abstract: Disclosed are a material analysis method based on the crystal structure database, a system, a computer-readable storage medium and an application. The material analysis method includes comparing experimental pattern information obtained from examination of a to-be-tested sample with theoretical pattern information calculated from material structure data in the crystal structure database, and obtaining crystallographic information and phase composition of the to-be-tested sample through intelligent analysis. The crystallographic information include space group, unit cell parameter, and specific coordinates of atoms in unit cell. The crystal structure database has material structure data obtained by experimental measurement and/or theoretical prediction, including chemical formula, space group, unit cell parameter and specific coordinates of atoms in unit cell.

Abstract: The present disclosure relates to a method, apparatus, storage medium and electronic device for speech synthesis. The present disclosure enables: acquiring a text to be synthesized marked with stress words; inputting the text to be synthesized into a speech synthesis model to obtain audio information corresponding to the text to be synthesized, the speech synthesis model being obtained by training sample texts marked with stress words and sample audios corresponding to the sample texts, the speech synthesis model being used to process the text to be synthesized in the following manner: determining a sequence of phonemes corresponding to the text to be synthesized; determining phoneme level stress labels according to the stress words marked in the text to be synthesized; generating audio information corresponding to the text to be synthesized according to the sequence of phonemes and the stress labels.

Abstract: The present disclosure relates to a method, apparatus, storage medium and electronic device for speech synthesis. The present disclosure enables : acquiring a text to be synthesized with a target tone label, target tone label being a tone label of a first speaker or a tone label of a second speaker; inputting the text into a speech synthesis model to obtain audio information corresponding to the text, training samples of speech synthesis model including a first sample text marked with stress words and a first sample audio of first speaker for the first sample text, and a second sample text with no stress word marked and a second sample audio of the second speaker for the second sample text, and the speech synthesis model is configured to determine stress words in the text, and generate audio information corresponding to the text according to the stress words and the target tone label.

Abstract: The present disclosure relates to a speech synthesis method, apparatus, readable medium and electronic device, which relates to the technical field of electronic information processing. The method comprises: acquiring a text to be synthesized and a specified emotion type (101), determining specified acoustic features corresponding to the specified emotion type (102), and inputting the text to be synthesized and the specified acoustic features into a pre-trained speech synthesis model, to acquire a target audio with the specified emotion type corresponding to the text to be synthesized which is output by the speech synthesis model (102). The acoustic features of the target audio match with the specified acoustic features, and the speech synthesis model is trained from a corpus without the specified emotion type.

Abstract: This disclosure relates to a speech synthesis method, an apparatus, a readable medium, and an electronic device, and the method includes: acquiring target text corresponding to each sentence in a plurality of sentences included in text to be synthesized; for the each sentence, inputting the target text corresponding to the sentence, historical text corresponding to the sentence, and historical audio corresponding to the sentence into a pre-trained speech synthesis model to acquire target audio corresponding to the sentence which is output by the speech synthesis model, wherein the historical text is target text corresponding to a previous sentence of the sentence in the text to be synthesized, and the historical audio is target audio corresponding to the historical text; and synthesizing target audio corresponding to respective sentences to obtain total audio corresponding to the text to be synthesized.

Abstract: The present invention relates to a sound effect adding method and apparatus, a storage medium, and an electronic device.