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Text regularization model training method and device, text regularization method and device

A text and model technology, applied in neural learning methods, biological neural network models, speech analysis, etc., can solve the problems of rule failure, unfavorable resource saving, poor generalization, etc., and achieve reduced maintenance costs, strong flexibility, and accuracy high effect

Active Publication Date: 2020-09-29
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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Problems solved by technology

However, the generalization of the rule-based method is poor, and there are strict restrictions on the context of the text. If the text format or content changes slightly, the corresponding rules may become invalid.
And with the increase of TTS requests, the diversity of each text changes, the number of rules gradually increases, and the maintenance of rules becomes more and more difficult, which is not conducive to saving resources

Method used

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  • Text regularization model training method and device, text regularization method and device
  • Text regularization model training method and device, text regularization method and device
  • Text regularization model training method and device, text regularization method and device

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Embodiment Construction

[0032] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0033] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0034] figure 1 An exemplary system architecture 100 of an embodiment to which the text regularization model training method or device of the present application can be applied and the text regularization method or device of the present application can be applied is shown. ...

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Abstract

The application discloses a text regularization model training method and device, and a text regularization method and device. A specific embodiment of the text regularization model training method includes: sequentially inputting characters in the input character sequence corresponding to the input text into the neural network corresponding to the text regularization model to be generated, and the neural network corresponding to the text regularization model includes encoding For each character in the input character sequence, based on the state of the hidden layer in the decoder after decoding the last character input, use the encoder to encode to obtain the intermediate semantic vector of the character, and use the decoding The device interprets the intermediate semantic vector to obtain the prediction result of the character; according to the difference between the prediction result of the input character sequence and the labeling result corresponding to the input text, the parameters of the neural network are adjusted. This embodiment realizes the automatic training of the text regularization model, and improves the flexibility and accuracy of the text regularization model.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of speech synthesis technology, and in particular to a text regularization model training method and device, and a text regularization method and device. Background technique [0002] Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that responds in a manner similar to human intelligence. Research in this field includes robotics, speech recognition, speech synthesis, Image recognition, natural language processing and expert systems, etc. Among them, speech synthesis technology is an important direction in the field of computer science and artificial intelligence. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L13/04G06N3/08G06N3/04G06F40/30G06F40/279
CPCG06N3/08G10L13/04G06F40/279G06F40/30G06N3/045
Inventor 陈汉英
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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