Intelligent voice question answering method and system based on deep learning and emotion recognition

Abstract

The invention discloses an intelligent voice question-answering method based on deep learning and emotion recognition, and the method comprises the steps: obtaining voice from a user, processing the voice to extract text information corresponding to the voice, carrying out the feature parameter extraction of the voice of the user, and carrying out the emotion analysis of the voice according to the extracted feature parameters to form an emotion tag; and inputting the generated text information into the trained semantic representation and matching model, matching with a question and answer library in combination with the obtained emotion tag, obtaining an answer of the question, and outputting the answer. The technical problem that an existing intelligent question-answering system is still low in accuracy due to ambiguity and complexity of natural languages and not rich in application of a deep learning algorithm can be solved, and the problem that when Chinese sentence information is captured, data redundancy and single dimension still exist can be solved. And therefore, system matching deviation is easily caused.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and more specifically relates to an intelligent voice question answering method and system based on deep learning and emotion recognition. Background technique [0002] With the advent of the Internet age, data has grown exponentially, and people have begun to use search engines to find the information they need. As one of the forms of intelligent question answering system, search engine provides users with corresponding answers to questions in the form of lists. As people have higher requirements for the efficiency and quality of information retrieval, the research on intelligent voice question answering system has also begun to develop further. [0003] Existing intelligent voice question answering systems generally need to perform two steps, first perform voice recognition, and then answer questions based on the recognized voice. Speech recognition technology is usually divid...

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Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides an intelligent voice question answering system based on deep learning and emotion recognition. , the application of deep learning algorithms is not very rich, resulting in the technical problem of low accuracy of the question answering system, and when capturing Chinese sentence information, there are still data redundancy and single dimension, so it is easy to cause system matching deviation technology question

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