Content identification method, model training method, data processing method, system and equipment

A content recognition and content technology, applied in the computer field, can solve problems such as failure to achieve the desired effect, errors in the recognition of near words or homophones, etc., and achieve the effect of good discrimination, high accuracy, and improved service quality.

Pending Publication Date: 2020-07-31
ALIBABA GRP HLDG LTD
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  • Abstract
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  • Claims
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Problems solved by technology

However, the existing speech recognition technology still has frequent errors in the recognition of similar words or homonyms. Although there is subsequent correction of the speech model, it often fails to achieve the desired effect.

Method used

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  • Content identification method, model training method, data processing method, system and equipment
  • Content identification method, model training method, data processing method, system and equipment
  • Content identification method, model training method, data processing method, system and equipment

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Embodiment Construction

[0080] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0081] Some processes described in the specification, claims, and above-mentioned drawings of the present application contain multiple operations appearing in a specific order, and these operations may not be executed in the order in which they appear herein or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. Additionally, these processes can include more or fewer operations, and these operations can be performed sequentially or in parallel. It should be noted that the descriptions of "first" and "second" in this article...

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Abstract

The embodiment of the invention provides a content identification method, a model training method, a data processing method, system and equipment. The content identification method comprises the following steps of taking content to be identified as input of an application model, and executing the application model to output first result information, determining a content label as an identificationresult based on the first result information, executing a corresponding service operation according to the content label, the application model being obtained after training of a training model is completed, the training model adopting at least two loss functions to calculate at least two loss values after one iteration in the training process, and completing parameter updating based on the at least two loss values. According to the technical scheme provided by the embodiment of the invention, the content identification accuracy is high, and particularly, the method has relatively good discrimination for contents with relatively high similarity, such as phonetic close characters and homophonetic characters.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a content recognition, model training, and data processing method, system, and device. Background technique [0002] Content recognition technology is to allow machines to recognize and understand the content sent by users. For example, speech recognition technology can facilitate both human-to-human communication (HHC) and human-machine communication (HMC). HHC, for example, voice messages sent to others can be converted into text for easy reading, and voice input is also more convenient; HMC, such as voice search, personal intelligent assistant, voice-controlled games, smart home, etc. [0003] Traditional speech recognition technology is highly dependent on manually selected features and has a low accuracy rate. Applying deep learning technology to the field of speech recognition can imitate the brain's pattern of learning and recognizing speech signals, whic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/06
CPCG10L15/063
Inventor 李鹏王炎
Owner ALIBABA GRP HLDG LTD
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