公开(公告)号：US20230360634A1

公开(公告)日：2023-11-09

申请号：US18356738

申请日：2023-07-21

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Nianzu ZHENG ,  Disong WANG ,  Liqun DENG ,  Yang ZHANG

IPC: G10L25/30 ,  G10L13/08

CPC classification number: G10L13/08 ,  G10L25/30

Abstract: The present disclosure relates to text data processing methods and apparatuses. One example method includes obtaining target text, where a phoneme of the target text includes a first phoneme and a second phoneme that are adjacent to each other. Feature extraction is performed on the first phoneme and the second phoneme to obtain a first audio feature of the first phoneme and a second audio feature of the second phoneme. By using a target recurrent neural network (RNN) and based on the first audio feature, first speech data corresponding to the first phoneme is obtained.By using the target RNN and based on the second audio feature, second speech data corresponding to the second phoneme is obtained.By using a vocoder and based on the first speech data and the second speech data, audio corresponding to the first phoneme and audio corresponding to the second phoneme are obtained.

公开(公告)号：US20190251084A1

公开(公告)日：2019-08-15

申请号：US16396381

申请日：2019-04-26

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yasheng WANG ,  Yang ZHANG ,  Hongbo ZHANG

IPC: G06F16/2455 ,  G16H10/60

CPC classification number: G06F16/2455 ,  G06F16/00 ,  G16H10/60

Abstract: Embodiments of the present invention relate to the field of computer technologies, and provide a search method and apparatus to resolve a problem that a reference text, of a text in a professional field, that is determined by using the prior art has relatively low accuracy. The method includes: obtaining n named entities in a current to-be-analyzed target case (S300); determining a first characteristic and a second characteristic (S301); generating, based on the first characteristic and the second characteristic and according to a preset vector generation rule, a target characteristic vector corresponding to the target case (S302); obtaining each historical case in a database and a characteristic vector corresponding to each historical case (S303); and separately calculating a similarity between the target characteristic vector and the characteristic vector corresponding to each historical case, and selecting a historical case whose similarity result meets a preset condition as a reference case (S304).