Audio recommendation method, terminal and computer readable storage medium

A recommendation method and audio technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as damage to the user's hearing
CN109408664AInactive Publication Date: 2019-03-01NUBIA TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NUBIA TECHNOLOGY CO LTD
Publication Date
2019-03-01
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an audio recommendation method, a terminal and a computer readable storage medium, and the method comprises the steps: obtaining a sound energy parameter of a historical playing audio of the terminal, and judging whether the sound energy of the historical playing audio is higher than a preset sound energy level or not according to the sound energy parameter of the historical playing audio. And if yes, the terminal determines a candidate sound energy parameter according to the sound energy parameter of the historical playing audio, and then determines a target audio andperforms audio recommendation. The sound energy of the candidate recommended audio corresponding to the candidate sound energy parameter is lower than the preset sound energy level; therefore, when the terminal determines that the sound energy level of the historical playing audio exceeds the preset sound energy level; some audios with low sound energy can be recommended to the user; the embodiment of the invention also provides a terminal and a computer readable storage medium, the terminal considers the influence of the audio energy on the hearing of the user while carrying out audio recommendation, the hearing of the user is protected, and the user experience is improved.
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Description

technical field

[0001] The present invention relates to the technical field of terminals, and more specifically, to an audio recommendation method, a terminal and a computer-readable storage medium. Background technique

[0002] In daily life, users often listen to music in their spare time to relax themselves. For example, after a day of get off work, they listen to music on their mobile phones on the way home from get off work to relieve the mental tension caused by work; or, when traveling , to relieve the long and boring journey by listening to music. When the music player plays music to the user, in addition to selecting the next playing track in the order specified by the user, it can also perform automatic recommendation. Compared with playing music in the order specified by the user, automatic recommendation makes it difficult for the user to predict the next track. tracks, thus making the process of listening to music more interesting.

[0003] However, in related ...

Claims

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