Beijing Jingdong Shangke Information Technology Co., Ltd.

Beijing Jingdong Century Trading Co., Ltd.

Zhizheng Wu

Wei Song

Shuyong Liu

Zhengchen Zhang

Junmin Lin

Yonghui Rao

Zhihang Xie

Guanghui Xu

Liumeng Xue

Bosen Ma

Shuangwen Qiu

Embodiments of the present application provide a text information processing method and apparatus, the method includes: acquiring a phoneme vector corresponding to an individual phoneme and a semantic vector corresponding to the individual phoneme in text information; acquiring first semantic information output at a last moment, wherein the first semantic information is semantic information corresponding to part of the text information in the text information, and the part of the text information is text information that has been converted into voice information; determining a context vector corresponding to a current moment according to the first semantic information, the phoneme vector corresponding to the individual phoneme and the semantic vector corresponding to the individual phoneme; and determining voice information at the current moment according to the context vector and the first semantic information.

Text information processing method and apparatus

Disclosed are a speech synthesis method and apparatus, and a storage medium. The method comprises: acquiring a symbol sequency of a statement to be synthesized, wherein the statement to be synthesized comprises a recorded statement characterizing a target object and a query result statement for the target object; encoding the symbol sequence by using a pre-set encoding model, in order to obtain a feature vector set; acquiring recording acoustic features corresponding to the recorded statement; predicting, according to a pre-set decoding model, the feature vector set, a pre-set attention model and the recording acoustic features, acoustic features corresponding to the statement to be synthesized, in order to obtain predicted acoustic features corresponding to the statement to be synthesized, wherein the pre-set attention model is a model that uses the feature vector set to generate a context vector used for decoding, and the predicted acoustic features are composed of at least one associated acoustic feature; and performing feature conversion and synthesis on the predicted acoustic features to obtain a speech corresponding to the sentence to be synthesized.

Speech synthesis method and apparatus, and storage medium

The present disclosure relates to a speech synthesis method and device, and a computer-readable storage medium, and relates to the field of computer technology. The method of the present disclosure includes: dividing a text into a plurality of segments according to a language category to which each of the segments belongs; converting each of the segments into a phoneme corresponding to the segment to generate a phoneme sequence of the text according to the language category to which each of the segments belongs; inputting the phoneme sequence into a speech synthesis model trained in advance and converting the phoneme sequence into a vocoder characteristic parameter; and inputting the vocoder characteristic parameter into a vocoder to generate a speech.

Speech synthesis method, device and computer readable storage medium

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Beijing, China

Zhizheng Wu