CN107846712B - On-demand method of intelligent sound equipment, electronic equipment and storage medium - Google Patents
On-demand method of intelligent sound equipment, electronic equipment and storage medium Download PDFInfo
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- CN107846712B CN107846712B CN201710542654.0A CN201710542654A CN107846712B CN 107846712 B CN107846712 B CN 107846712B CN 201710542654 A CN201710542654 A CN 201710542654A CN 107846712 B CN107846712 B CN 107846712B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/20—Arrangements for obtaining desired frequency or directional characteristics
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
Abstract
The invention discloses an on-demand method of an intelligent sound box, which comprises the following steps: judging portrait label: judging whether a user portrait label exists, if so, executing a song recognition step, and if not, acquiring the user portrait label which comprises static information and dynamic information; song identification: identifying a song requested by a user; a signal switching step: performing wireless signal switching according to external environment data, wherein the external environment data comprises use environment data and network quality data; and a tone quality switching step: and switching the tone quality of the on-demand song according to the user portrait label. The invention also discloses an electronic device and a computer readable storage medium. The on-demand method of the intelligent sound equipment can adaptively control the output tone quality performance in a grading way according to the user portrait label, the network quality data and the using environment data, and better meets the experience requirement of artificial intelligence interaction.
Description
Technical Field
The invention relates to the technical field of intelligent sound equipment, in particular to a video-on-demand method of the intelligent sound equipment, electronic equipment and a storage medium.
Background
At present, a conventional sound box is used as a terminal of the whole sound system, and functions to convert audio electric energy into corresponding sound energy and radiate the sound energy into space. In the internet era, users face an organic whole rather than a scattered combination of various household appliances and mobile devices, and a sound system is not exceptional. The loudspeaker box with the function becoming intelligent gradually inherits the function of the traditional sound system and is used as an important component of the smart home, becomes a new entrance of the internet and the internet of things, and combines the safety, entertainment, diet, health and the like of the family.
The sound box directly intersects with the human auditory sense, and the human ear has strong capability of distinguishing the tone quality of complex sound, so that the subjective feeling of the human ear on the sound becomes an important standard for the sound quality of a sound system. For the traditional sound box, the main technical indexes are as follows: frequency characteristics, signal-to-noise ratio, dynamic range, transient response, stereo separation, stereo balance, etc. When the world enters the digital music era, the intelligent sound box is taken as the best input mode meeting the artificial intelligence interaction, meanwhile, the output tone quality performance is also concerned by people, and the business model based on the tone quality is inevitably extended.
The output tone quality of the smart speaker is not only dependent on the main technical indicators of the traditional speaker, but also closely related to the network connection characteristics thereof, such as the frequency band, channel, transmission power, etc. of the wireless network (IEEE 802.11 protocol, WiFi). Currently, the mainstream wireless network equipment, namely IEEE 802.11b/g or IEEE 802.11b/g/n, generally supports two common frequency bands of 2.4GHz and 5 GHz. The available bandwidth of a commonly used 2.4GHz (2.4-2.4835 GHz) band is 83.5MHz, a total of 14 channels are provided, the effective width of each channel is 20MHz, and in addition, a 2MHz forced isolation band is provided. Although their center frequencies are different, they may overlap each other because they occupy a certain frequency range. In addition, many wireless network devices start to use a frequency band around 5GHz (5.15-5.85 GHz), and when the frequency band is divided into channels, each channel does not overlap with an adjacent channel, so that interference is small, but when the frequency of 5GHz is high, attenuation is severe during spatial transmission, so that if the distance is a little long, performance is seriously reduced. It is worth noting that, in addition to the wireless network, the working frequency bands of microwave, infrared ray and bluetooth (IEEE802.15 protocol) are also within the range of 2.4GHz, and the two communicate under different protocols, and mutually identify signals transmitted by the other party as noise, so that interference can be caused to wireless network transmission, which is an important reason for influencing the output tone quality of the smart sound box. At present, no solution for controlling the output tone quality of the intelligent sound box in a self-adaptive and hierarchical mode based on the connection quality of a wireless network channel exists.
However, the existing solutions have the following drawbacks:
the smart sound box, as an important component of a smart home, faces different use environments of unspecified people and different compression levels and formats of digital music requested by a user on the internet, and is also an important option for influencing the output tone quality of the smart sound box. At present, no solution for controlling the output tone quality of the intelligent sound box in a self-adaptive and hierarchical mode based on information such as a use environment and a user portrait exists.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the objectives of the present invention is to provide an on-demand method for intelligent audio equipment, which can solve the technical problem of tone quality adaptation.
Another object of the present invention is to provide an electronic device that can solve the technical problem of tone quality adaptation.
It is another object of the present invention to provide a computer-readable storage medium, which can solve the technical problem of tone quality adaptation.
One of the purposes of the invention is realized by adopting the following technical scheme:
an on-demand method of an intelligent sound box comprises the following steps:
judging portrait label: judging whether a user portrait label exists, if so, executing a song recognition step, and if not, acquiring the user portrait label which comprises static information and dynamic information;
song identification: identifying a song requested by a user;
a signal switching step: performing wireless signal switching according to external environment data, wherein the external environment data comprises use environment data and network quality data;
and a tone quality switching step: and switching the tone quality of the on-demand song according to the user portrait label.
Further, the portrait label judging step is preceded by a step of awakening judging: and judging whether the intelligent sound box is awakened or not, if so, executing the portrait label judging step, and if not, acquiring external environment data.
Further, the signal switching step includes the sub-steps of:
a first channel switching step: switching wireless network channels according to the network quality data;
power optimization step: the intelligent sound wireless transmission power is optimized according to the use environment data, the network quality data and the user image label.
Further, the first channel switching step includes the sub-steps of:
a state receiving and judging step: judging whether the wireless channel state sent by the router is received currently, if so, executing a second channel switching step;
a second channel switching step: switching wireless channels according to the wireless channel state and the user portrait label;
switching and judging: and judging whether user switching is performed or not, if so, updating the user portrait label, and if not, sending a beacon frame to the router so as to switch the router to a corresponding wireless channel.
Further, the power optimization step comprises the sub-steps of:
quality analysis step: analyzing the channel transmitting power state in the network quality data and adjusting the range of the channel transmitting power;
a data acquisition step: acquiring a result of portrait labeling of a user and using environment data of the user;
power adjustment step: and judging whether to adjust the wireless transmitting power according to the result of the user portrait label and the using environment data of the user, if so, adjusting the wireless transmitting power, and if not, executing the step of switching the tone quality.
Further, the sound quality switching step includes the following substeps:
song analyzing step: analyzing the type of the song requested by the user;
and a user switching judgment step: judging whether user switching occurs currently, if so, updating a user portrait label, and if not, executing an environment judgment step;
and (3) environment judgment: and judging whether the current using environment data is changed or not, if so, updating the using environment data, and if not, switching the tone quality of the on-demand song.
The second purpose of the invention is realized by adopting the following technical scheme:
an electronic device, comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing:
judging portrait label: judging whether a user portrait label exists, if so, executing a song recognition step, and if not, acquiring the user portrait label which comprises static information and dynamic information;
song identification: identifying a song requested by a user;
a signal switching step: performing wireless signal switching according to external environment data, wherein the external environment data comprises use environment data and network quality data;
and a tone quality switching step: and switching the tone quality of the on-demand song according to the user portrait label.
Further, the portrait label judging step is preceded by a step of awakening judging: and judging whether the intelligent sound box is awakened or not, if so, executing the portrait label judging step, and if not, acquiring external environment data.
Further, the signal switching step includes the sub-steps of:
a first channel switching step: switching wireless network channels according to the network quality data;
power optimization step: the intelligent sound wireless transmission power is optimized according to the use environment data, the network quality data and the user image label.
The third purpose of the invention is realized by adopting the following technical scheme:
a computer-readable storage medium having stored thereon a computer program for execution by a processor of a method as claimed in any one of the preceding claims.
Compared with the prior art, the invention has the beneficial effects that: .
The on-demand method of the intelligent sound box provides a labeled user portrait abstracted by modeling based on the collection of information such as user social attributes, living habits, consumption behaviors and the like, and is used for a switching method of a wireless network channel of the intelligent sound box, so that unspecific users of the intelligent sound box can adaptively and hierarchically control the output sound quality performance under different network connection qualities and use environments, and the experience requirement of artificial intelligence interaction is better met.
Drawings
Fig. 1 is a flowchart of a method for requesting a smart audio device according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Example one
As shown in fig. 1, the present invention provides a method for requesting an intelligent sound, comprising the following steps:
s0: judging whether the intelligent sound box is awakened, if so, executing step S1, and if not, acquiring external environment data;
s1: judging whether a user portrait label exists, if so, executing step S2, and if not, acquiring the user portrait label, wherein the user portrait label comprises static information and dynamic information; the embodiment of the invention provides a method for constructing a user image of an intelligent sound box. The user-on-demand can be viewed as the only data source for the user behavior modeling information. Each user action is essentially a random event, which can be described in detail as: what user, at what time, at what location, what content is on demand.
The method comprises the following steps: in the first step, the collection of user static information data is illustrated as follows: and carrying out user portrait serial number arrangement through voice recognition and analysis of interaction between the user and the intelligent sound box. The most commonly used voice feature is a Mel cepstrum coefficient, Mel scale describes the non-linear characteristic of human ear frequency, the feature can be further processed to identify the intelligent sound box user, and meanwhile, the gender and age information of the user can be obtained; obtaining the region information of the user through the network address of the intelligent sound box; and acquiring information such as whether the user is a registered member and corresponding on-demand payment through the networking registration ID/Email/microblog/WeChat/QQ/mobile phone number/identity card of the intelligent sound box.
In the second step, the dynamic information data of the user is collected, for example, as follows: through recording the objective use condition of the intelligent sound box user, obtaining information such as the use time period, the use frequency and the use duration of the user; by recording subjective use conditions of different types and compressed format digital music and the like of the intelligent sound box user on demand, information such as on-demand content of the user, preference of tone quality and the like is obtained.
And thirdly, modeling user behaviors, constructing a user portrait, finally marking a label for each user by analyzing the user behaviors, and giving a certain weight to the label after collecting the labels possibly existing in one user so as to distinguish the importance degree of different labels to the user.
The sub-items of the data structure of the user representation are distinguished by user serial numbers, each sub-item comprises a user tag and a corresponding tag weight, as shown in the following list:
analyzing user portrait data, (1) weighting score is 80-100, and the corresponding intelligent sound box user has higher requirements on agility, continuity and tone quality of song on demand; (2) the weighting score is 60-80, and the song on demand of the corresponding intelligent sound box user is heavier than the sound quality appeal; (3) weighting score is 40-60, and the corresponding intelligent sound box user is stressed on agility and consistency requirements on song playing; (4) and the weighting score is 0-40, and the corresponding intelligent sound box user has no obvious appeal on song on demand.
S2: identifying a song requested by a user;
s3: performing wireless signal switching according to external environment data, wherein the external environment data comprises use environment data and network quality data; the step S3 includes the following sub-steps:
s31: switching wireless network channels according to the network quality data; the step S31 includes the following sub-steps:
s311: judging whether the wireless channel state sent by the router is received currently, if so, executing step S312;
s312: switching wireless channels according to the wireless channel state and the user portrait label;
s313: judging whether user switching is carried out or not, if so, updating the user portrait label, and if not, sending a beacon frame to the router so as to switch the router to a corresponding wireless channel; the embodiment of the invention provides a method for constructing a network quality table of an intelligent sound box. The method comprises the following steps:
firstly, the intelligent sound box obtains wireless network name information by reading a system SSID (service Set identifier) value;
secondly, the intelligent sound box obtains wireless network link speed information by reading a system LinkSpeed value;
thirdly, the intelligent sound box obtains unit information of the wireless network LINK SPEED by reading a system LINK _ SPEED _ UNITS value;
fourthly, the intelligent sound box obtains wireless network Signal Strength information by reading a system RSSI (received Signal Strength indicator) value;
fifthly, the intelligent sound box obtains wireless network frequency Band information by reading a system Band value, and whether the intelligent sound box can support two frequency range segments of 5G or 2.4G;
sixthly, the intelligent sound box obtains the label information of the wireless network Channel by reading the Channel value of the system;
and seventhly, the intelligent sound box obtains wireless network transmitting power information by reading a hardware parameter set value of the wireless router. The wireless channel switching management process specifically comprises the following steps: the intelligent sound box judges whether a wireless channel state report sent by the router is received at present; if the wireless channel state report is received currently, the intelligent sound box further analyzes the channel switching state in the network quality table; the intelligent sound box optimizes and selects a wireless channel switching scheme according to information such as a wireless channel state report, a user portrait label and the like; the intelligent sound box updates a local network quality table; the intelligent sound box identifies the wireless channel degradation state; judging whether the intelligent sound box finds user switching or not; if the switching of the users is found, updating the user image table unit of the intelligent sound box is executed, otherwise, a beacon frame is further sent to inform the router; the intelligent sound box updates the user picture list; the intelligent sound box switches wireless network channels; the intelligent sound box sends a beacon frame to inform the router, and the router correspondingly switches wireless network channels.
The data structure subentries of the intelligent sound box network quality table are distinguished by wireless network names, each subentry comprises a network parameter label and a corresponding label weight, and the following list shows that:
analyzing data of a network quality table of the intelligent sound box, (1) weighting and scoring 80-100, wherein the corresponding intelligent sound box is in a better network connection state; (2) the weighting score is 60-80, and the network state connection corresponding to the intelligent sound box can be further improved in the aspect of signal to noise ratio so as to optimize the sound quality of the user on demand; (3) the weighted score is 40-60, and the network state connection corresponding to the intelligent sound box can be further improved in the aspect of transmission rate so as to optimize the agility and the continuity of the user on demand; (4) and the weighting score is 0-40, the connection rate of the network state corresponding to the intelligent sound box is not ideal, and the stability of wireless network connection is preferably ensured.
S32: optimizing the wireless transmitting power of the intelligent sound according to the using environment data, the network quality data and the user image label; the step S32 includes the following sub-steps:
s321: analyzing the channel transmitting power state in the network quality data and adjusting the range of the channel transmitting power;
s322: acquiring a result of portrait labeling of a user and using environment data of the user;
s323: judging whether to adjust the wireless transmitting power according to the result of the user portrait label and the using environment data of the user, if so, adjusting the wireless transmitting power, otherwise, executing the step S4; adjusting the wireless transmission power includes optimizing the wireless transmission power, boosting the wireless channel signal-to-noise ratio, or suppressing channel interference. The embodiment of the invention provides a method for constructing a use environment table of an intelligent sound box. The method comprises the following steps:
firstly, the intelligent sound box sends a request to a national time service center website through networking, and the time of the server responding to the request is read so as to obtain the time information used by the intelligent sound box;
secondly, the intelligent sound box measures the distance between the intelligent sound box and the wireless router by reading the RSSI value of the system, and then carries out positioning estimation according to corresponding data so as to obtain the position information of the intelligent sound box;
and thirdly, the intelligent sound box monitors the sound intensity in the use environment through a microphone at regular time so as to acquire background noise information used by the intelligent sound box.
And fourthly, the intelligent sound box inquires all 14 channels in a wave band within a fixed period of time by negotiating with the wireless router, and packet loss rate detection is carried out, so that the quality of the wireless channel used by the intelligent sound box is evaluated. Channel 1, 6, 11, as known from the wireless network's specification of channel division; channels 2, 7, 12; channels 3, 8, 13; channels 4, 9, 14 are four sets of channels with frequencies that do not overlap and do not interfere with each other. Therefore, the intelligent sound box carries out channel switching in the four groups of channels according to the priority obtained by the evaluation of the method, and the aim of restraining channel interference and ensuring the on-demand tone quality is favorably achieved. The specific channel switching process is specified by a wireless network related protocol, and the main steps relate to: and the intelligent sound box selects a corresponding channel according to the priority and sends a corresponding network access frame to the wireless router, the wireless router replies an address allocation frame of the intelligent sound box, and the intelligent sound box receives the address allocation frame and replies a confirmation frame of the wireless router to complete channel switching.
The wireless transmission power management process comprises the following steps: the intelligent sound box analyzes the channel transmitting power state in the network quality table and calculates the range of adjusting the transmitting power; the intelligent sound box inquires user image label information and calculates the behavior preference of the current user, such as the tendency of agility, continuity, tone quality expression and the like of song on demand; the intelligent sound box inquires the use environment information of the user; calculating the position of the current user, such as the distance from the router, the surrounding noise/vibration and other conditions; the intelligent sound box judges whether the wireless transmitting power is adjusted in a self-adaptive mode; if the wireless transmitting power is adjusted, executing and optimizing the wireless transmitting power unit of the intelligent sound box; otherwise, the sub-process of the embodiment is ended; the intelligent sound box comprehensively judges the channel transmitting power state, the user portrait label information and the user use environment information in the network quality table, optimizes the wireless transmitting power of the intelligent sound box, and improves the signal-to-noise ratio of a wireless channel or inhibits channel interference.
The data structure subitems of the usage environment table of the smart speaker are distinguished by MAC addresses, each subitem comprises an environment variable label and a corresponding label weight, and the following list shows that:
analyzing the data of the intelligent sound box using environment table, (1) weighting and scoring 80-100, wherein the corresponding intelligent sound box is in a better using environment; (2) the weighted score is 80-100, the corresponding intelligent sound box is in a use environment with low background noise and is close to the wireless router, and digital music files with higher quality can be switched and downloaded through a network channel so as to further improve the sound quality experience of the user on demand; (3) the weighted score is 40-60, the corresponding intelligent sound box is in a use environment with low background noise, but is far away from the wireless router, and digital music files with low quality can be switched and downloaded through a network channel, so that the consistency experience of the user on demand can be further improved; (4) the weighting score is 0-40, the corresponding intelligent sound box is in a use environment with high background noise, and the sound quality experience of the user on demand does not need to be further improved.
S4: and switching the tone quality of the on-demand song according to the user portrait label. The step S4 includes the following sub-steps: a group of sound quality self-adaptive intelligent sound box on-demand application scenes are obtained by carrying out data analysis on the obtained user portrait data, the network quality table and the use environment data, the connection mode of a wireless network channel can be obtained and actively switched aiming at non-specific intelligent sound box users, the transmitting power is optimized, the evaluation factor of channel interference is suppressed, the digital music files with corresponding formats and compression levels are obtained through a parallel network to carry out sound quality self-adaptive on-demand, and the performances of agility, continuity, sound quality and the like of song on-demand are balanced.
S41: analyzing the type of the song requested by the user;
s42: judging whether user switching occurs currently, if so, updating the user portrait label, and if not, executing step S43;
s43: and judging whether the current using environment data is changed or not, if so, updating the using environment data, and if not, switching the tone quality of the on-demand song.
The specific user on-demand tone quality management process. According to the user portrait label information and the intelligent sound box use environment information, the subprocess is jointly used as an evaluation factor of the tone quality of the on-demand song, and the parallel network acquires the digital music file with the corresponding compression grade to carry out tone quality self-adaptive on-demand. The method may be implemented by software or hardware, and is not particularly limited thereto. Correspondingly, the method of the sub-process of the embodiment specifically includes the following steps: and the intelligent sound box analyzes the type of the song requested by the user. The requirements of different types of songs on demand on tone quality are different, and further optimization is needed according to user portrait label information such as social attributes, living habits and consumption behaviors of unspecified users of the intelligent sound box so as to balance the performances such as agility, continuity and tone quality of song on demand; judging whether the intelligent sound box finds user switching or not; if the user switching is found, executing query of a user sketch table unit, otherwise, further judging whether the intelligent sound box is subjected to environment switching; the intelligent sound box inquires user image label information; judging whether the use environment switching is found by the intelligent sound box; if the environment switching is found, executing query of the using environment table unit, otherwise, directly evaluating the tone quality information of the user on-demand song, and acquiring the digital music file with the corresponding compression grade through the parallel network to perform tone quality self-adaptive on-demand; inquiring a use environment table by the intelligent sound box; and the intelligent sound box evaluates the tone quality information of the song requested by the user, and the parallel network acquires the digital music file with the corresponding compression grade to perform tone quality self-adaptive request.
The method comprises the steps of modeling and abstracting a labeled user portrait by collecting information such as purchasing ability, behavior characteristics, interests, psychological characteristics, content preferences and social preferences of a user of the intelligent sound box, simultaneously combining the current use environment position and noise condition of the intelligent sound box and the connection quality of a wireless network channel, and jointly using the information as an active switching wireless network channel connection mode to optimize the transmitting power and inhibit the evaluation factors of channel interference, and obtaining digital music files with corresponding compression levels through a parallel network to perform tone quality self-adaptive on-demand so as to balance performances such as the agility, the continuity and the tone quality of song on-demand.
The embodiment of the invention provides a labeled user portrait abstracted by modeling based on the collection of information such as user social attributes, living habits, consumption behaviors and the like based on the internet/internet of things attributes of an intelligent sound box, and is used for a switching method of a wireless network channel of the intelligent sound box, so that unspecific users of the intelligent sound box can adaptively and hierarchically control the output tone quality performance under different network connection qualities and use environments, and the experience requirement of artificial intelligence interaction is better met.
Example two
The second embodiment discloses an electronic device, which comprises a processor, a memory and a program, wherein the processor and the memory can adopt one or more programs, the program is stored in the memory and configured to be executed by the processor, and when the processor executes the program, the on-demand method of the intelligent sound box of the first embodiment is realized. The electronic device may be a series of electronic devices such as a mobile phone, a computer, a tablet computer, and the like.
EXAMPLE III
The third embodiment discloses a readable computer storage medium, which is used for storing a program, and when the program is executed by a processor, the on-demand method of the intelligent sound box of the first embodiment is realized.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (7)
1. An on-demand method of an intelligent sound is characterized by comprising the following steps:
judging portrait label: judging whether a user portrait label exists or not, if so, executing a song identification step, if not, acquiring the user portrait label, wherein the user portrait label comprises static information and dynamic information, the static information comprises the information of the gender and the age of the user, the information of the region where the user is located, whether the user is a registered member or not and corresponding on-demand payment information, and the dynamic information comprises the use time period, the use frequency and the use time length of the user and the preference information of the user on-demand content and tone quality;
song identification: identifying a song requested by a user;
a signal switching step: performing wireless signal switching according to external environment data, wherein the external environment data comprises use environment data and network quality data;
and a tone quality switching step: switching the tone quality of the song to be played according to the user portrait label;
wherein the signal switching step comprises the sub-steps of:
a first channel switching step: switching wireless network channels according to the network quality data;
power optimization step: optimizing the wireless transmitting power of the intelligent sound according to the using environment data, the network quality data and the user image label;
the power optimization step comprises the following sub-steps:
quality analysis step: analyzing the channel transmitting power state in the network quality data and adjusting the range of the channel transmitting power;
a data acquisition step: acquiring a result of portrait labeling of a user and using environment data of the user;
power adjustment step: and judging whether to adjust the wireless transmitting power according to the result of the user portrait label and the using environment data of the user, if so, adjusting the wireless transmitting power, and if not, executing the step of switching the tone quality.
2. The on-demand method for smart audio according to claim 1, comprising a step of wake-up determination before the portrait label determination step: and judging whether the intelligent sound box is awakened or not, if so, executing the portrait label judging step, and if not, acquiring external environment data.
3. The on-demand method for smart audio according to claim 1, wherein the first channel switching step comprises the sub-steps of:
a state receiving and judging step: judging whether the wireless channel state sent by the router is received currently, if so, executing a second channel switching step;
a second channel switching step: switching wireless channels according to the wireless channel state and the user portrait label;
switching and judging: and judging whether user switching is performed or not, if so, updating the user portrait label, and if not, sending a beacon frame to the router so as to switch the router to a corresponding wireless channel.
4. The on-demand method for smart audio set according to claim 1, wherein the sound quality switching step comprises the substeps of:
song analyzing step: analyzing the type of the song requested by the user;
and a user switching judgment step: judging whether user switching occurs currently, if so, updating a user portrait label, and if not, executing an environment judgment step;
and (3) environment judgment: and judging whether the current using environment data is changed or not, if so, updating the using environment data, and if not, switching the tone quality of the on-demand song.
5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of:
judging portrait label: judging whether a user portrait label exists or not, if so, executing a song identification step, if not, acquiring the user portrait label, wherein the user portrait label comprises static information and dynamic information, the static information comprises the information of the gender and the age of the user, the information of the region where the user is located, whether the user is a registered member or not and corresponding on-demand payment information, and the dynamic information comprises the use time period, the use frequency and the use time length of the user and the preference information of the user on-demand content and tone quality;
song identification: identifying a song requested by a user;
a signal switching step: performing wireless signal switching according to external environment data, wherein the external environment data comprises use environment data and network quality data;
and a tone quality switching step: switching the tone quality of the song to be played according to the user portrait label;
wherein the signal switching step comprises the sub-steps of:
a first channel switching step: switching wireless network channels according to the network quality data;
power optimization step: optimizing the wireless transmitting power of the intelligent sound according to the using environment data, the network quality data and the user image label;
the power optimization step comprises the following sub-steps:
quality analysis step: analyzing the channel transmitting power state in the network quality data and adjusting the range of the channel transmitting power;
a data acquisition step: acquiring a result of portrait labeling of a user and using environment data of the user;
power adjustment step: and judging whether to adjust the wireless transmitting power according to the result of the user portrait label and the using environment data of the user, if so, adjusting the wireless transmitting power, and if not, executing the step of switching the tone quality.
6. The electronic device of claim 5, wherein the portrait label determination step is preceded by the step of waking up the determination step of: and judging whether the intelligent sound box is awakened or not, if so, executing the portrait label judging step, and if not, acquiring external environment data.
7. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements the method of any one of claims 1-4.
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| CN (1) | CN107846712B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1882999A (en) * | 2003-11-18 | 2006-12-20 | 皇家飞利浦电子股份有限公司 | User aware audio playing apparatus and method |
| JP2008003483A (en) * | 2006-06-26 | 2008-01-10 | Taito Corp | Karaoke device |
| CN105376724A (en) * | 2015-11-17 | 2016-03-02 | 北京小鸟听听科技有限公司 | Communication processing method and apparatus |
| CN106357883A (en) * | 2016-08-24 | 2017-01-25 | 北京小米移动软件有限公司 | Audio playing method and device thereof as well as playing system |
-
2017
- 2017-07-05 CN CN201710542654.0A patent/CN107846712B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1882999A (en) * | 2003-11-18 | 2006-12-20 | 皇家飞利浦电子股份有限公司 | User aware audio playing apparatus and method |
| JP2008003483A (en) * | 2006-06-26 | 2008-01-10 | Taito Corp | Karaoke device |
| CN105376724A (en) * | 2015-11-17 | 2016-03-02 | 北京小鸟听听科技有限公司 | Communication processing method and apparatus |
| CN106357883A (en) * | 2016-08-24 | 2017-01-25 | 北京小米移动软件有限公司 | Audio playing method and device thereof as well as playing system |
Non-Patent Citations (1)
| Title |
|---|
| 《基于用户体验的家用智能音响系统设计与研究》;刘翔;《中国优秀硕士学位论文全文数据库》;20160115;全文 * |
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