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A phonetic search method and an electronic device

An electronic device and voice technology, which is applied in the direction of instruments, unstructured text data retrieval, data processing applications, etc., can solve the problems of difficulty in distinguishing differences, low accuracy of search questions, low accuracy of voice recognition of tutoring machines, etc., to improve The effect of accuracy

Active Publication Date: 2019-01-25
GUANGDONG XIAOTIANCAI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But in practice, it is found that when there is a noisy external sound source, the sound from the external sound source is easily received by the tutoring machine, and it is very easy to interfere with the interaction between the tutoring machine and the user's voice search question, and it is difficult for the tutoring machine to distinguish the voice input by the user. The difference between the external sound source and the external sound source leads to a low accuracy rate of the voice recognition of the tutor machine, which leads to a low accuracy rate of the search question

Method used

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  • A phonetic search method and an electronic device
  • A phonetic search method and an electronic device
  • A phonetic search method and an electronic device

Examples

Experimental program
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Embodiment 1

[0064] see figure 1 , figure 1 It is a schematic flow chart of a voice search method disclosed in an embodiment of the present invention. in, figure 1 The described voice search method is applicable to mobile phones, tablet computers, tutoring machines, and other electronic devices that have voice interaction functions and are capable of voice search, and are not limited by the embodiments of the present invention. Wherein, the operating system of the above-mentioned electronic equipment may include but not limited to Android operating system, IOS operating system, Symbian (Symbian) operating system, Black Berry (Blackberry) operating system, Windows Phone8 operating system, etc., the embodiment of the present invention does not Do limited. Such as figure 1 As shown, the voice search method may include the following steps:

[0065] 101. The electronic device detects the first external sound in its current environment.

[0066] In the embodiment of the present invention, ...

Embodiment 2

[0080] see figure 2 , figure 2 It is a schematic flow chart of another voice search method disclosed in the embodiment of the present invention. Such as figure 2 As shown, the voice search method may include the following steps:

[0081] 201. The electronic device detects the first external sound in its current environment.

[0082] 202. The electronic device judges whether the current decibel of the first external sound is greater than a preset decibel threshold, if yes, go to step 203, and if not, go to step 208.

[0083] 203. The electronic device determines the sound source position of the first external sound.

[0084] 204. The electronic device outputs prompt information for prompting the user to move in a direction away from the position of the sound source.

[0085] 205. The electronic device detects the relative distance between the electronic device and the sound source of the first external sound in real time and judges whether the relative distance is great...

Embodiment 3

[0100] see image 3 , image 3 It is a schematic structural diagram of an electronic device disclosed in an embodiment of the present invention. Such as image 3 As shown, the electronic equipment may include:

[0101] The first detection unit 301 is configured to detect the first external sound of the environment where the electronic device is currently located;

[0102] As an optional implementation, the detection unit 301 can detect the sound from the external sound source in the current environment of the electronic device in real time through the built-in background noise collection module (earpiece, microphone or microphone array, etc.), and measure the intensity of the external sound source. to determine the intensity of the external sound in the environment where the electronic device is currently located; to analyze the intensity of the detected external sound in the environment where the electronic device is currently located to determine the decibel level of the ...

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PUM

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Abstract

The embodiment of the invention discloses a phonetic search method and an electronic device. The method comprises the following steps: detecting an external first sound of the environment in which theelectronic device is currently located; determining whether the current decibel of the external first sound is greater than a preset decibel threshold; determining a sound source position of an external first sound and outputting prompting information for prompting a user to move in a direction away from the sound source position if the sound source position is greater than a decibel threshold value; detecting a relative distance between the electronic device and a sound source position of an external first sound in real time and judging whether the relative distance is greater than a presetdistance threshold value; If the relative distance is greater than the distance threshold, obtaining the first speech input by the user as the title search speech; identifying the question to be searched from the search speech and searching the answer information matched with the question to be searched; outputting answer information. By implementing the embodiment of the invention, the interference of the external sound source on the phonetic search can be reduced through the way of being far away from the external sound source, and the search accuracy rate of the electronic equipment including the tutor machine is improved.

Description

technical field [0001] The invention relates to the technical field of voice interaction, in particular to a voice search method and electronic equipment. Background technique [0002] With the development of educational technology, tutoring machines are widely used by children as an auxiliary learning tool in the learning process of children today. Under normal environmental conditions, the tutoring machine can easily recognize the voice input by the user, so as to realize voice search questions normally. But in practice, it is found that when there is a noisy external sound source, the sound from the external sound source is easily received by the tutoring machine, and it is very easy to interfere with the interaction between the tutoring machine and the user's voice search question, and it is difficult for the tutoring machine to distinguish the voice input by the user The difference between the external sound source and the external sound source leads to a low accuracy ...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06Q50/20
CPCG06Q50/20
Inventor 朱文辉
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
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