WO2018223837A1 - 音乐播放方法及相关产品 - Google Patents

音乐播放方法及相关产品 Download PDF

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Publication number
WO2018223837A1
WO2018223837A1 PCT/CN2018/087858 CN2018087858W WO2018223837A1 WO 2018223837 A1 WO2018223837 A1 WO 2018223837A1 CN 2018087858 W CN2018087858 W CN 2018087858W WO 2018223837 A1 WO2018223837 A1 WO 2018223837A1
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WIPO (PCT)
Prior art keywords
play
user
determining
parameter
habit data
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PCT/CN2018/087858
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English (en)
French (fr)
Inventor
白剑
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Oppo广东移动通信有限公司
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Publication of WO2018223837A1 publication Critical patent/WO2018223837A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/72442—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality for playing music files
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/63—Querying
    • G06F16/635—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/63—Querying
    • G06F16/635—Filtering based on additional data, e.g. user or group profiles
    • G06F16/636—Filtering based on additional data, e.g. user or group profiles by using biological or physiological data

Definitions

  • the present application relates to the field of mobile terminal technologies, and mainly relates to a music playing method and related products.
  • the embodiment of the present application provides a music playing method and related products, which can improve the operation convenience of playing music.
  • an embodiment of the present application provides a music playing method, including:
  • the target playlist is played according to the play parameters.
  • the embodiment of the present application provides a music playing device, including:
  • An obtaining unit configured to acquire user habit data for music playing
  • a determining unit configured to determine a play time according to the user habit data
  • the acquiring unit is further configured to acquire a user mood parameter and/or an environment parameter when the playing time arrives;
  • the determining unit is further configured to target a playlist and a play parameter according to the user habit data, the user mood parameter, and/or the environment parameter;
  • a playing unit configured to play the target playlist according to the playing parameter.
  • an embodiment of the present application provides a mobile terminal, including: an application processor AP and a memory; and one or more programs;
  • the one or more programs are stored in the memory and configured to be executed by the AP, the program including instructions for performing the following steps;
  • the target playlist is played by the AP according to the play parameters.
  • an embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes the computer to execute as implemented in the present application.
  • an embodiment of the present application provides a computer program product, where the computer program product includes a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to execute Apply some or all of the steps described in any of the methods of the first aspect of the embodiments.
  • the computer program product can be a software installation package.
  • FIG. 1 is a schematic flowchart of a music playing method according to an embodiment of the present application.
  • FIG. 2 is a schematic structural diagram of a music playing device according to an embodiment of the present application.
  • FIG. 3 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of another mobile terminal according to an embodiment of the present disclosure.
  • the embodiment of the present application provides a music playing method.
  • the implementation of the method may depend on a computer program running on a von Neumann system-based computer system, which may be a stand-alone application in music playback software on a mobile terminal, or based on music Play software development options or application plugins. It can be installed in a mobile terminal running an operating system such as IOS, Android, Windows Phone, etc., including but not limited to a personal computer, a server computer, a handheld or a laptop, a consumer electronic device, a smart phone, a tablet, and a media. Players and multiprocessor systems and more.
  • a music playing method includes:
  • Step S102 Acquire user habit data for music playing.
  • the user habit data for music playing may include a music playing record that the user uses the player or the music application software of the mobile terminal to perform music playing, and may also include preference data obtained by analyzing the music playing record.
  • the music play record may include a play record, a search record, and the like
  • the preference data may include a play time, a play track, a play volume, a play type (eg, a fast song, a slow song, a country, a rock, a singer, etc.), that is, through the above User habit data can determine what type of music the user is accustomed to listening to under what state.
  • the user habit data of the user 1 for music playing is to listen to the latest song after waking up in the morning to working in the morning, and the user habit data of the user 2 for music playing is listening to inspirational music while working, and the user habit data of the user 3 for music playing is Listen to light music, etc. at noon and evening cooking time.
  • Step S104 Determine a play time according to the user habit data.
  • how to determine the playing time according to the user habit data is not limited, and the time when the user normally plays the music may be obtained according to the user habit data, and then the playing times of the time period in which the music is normally played are counted, and the maximum value in the playing times is obtained.
  • the average value, the earliest time, or any value in the corresponding time period is used as the playing time, thereby improving the accuracy of determining the playing time, and facilitating the operation convenience of the music playing.
  • the user habit data is to listen to music on the way to work, get the music play record from Monday to Friday, get 8:10, 8:20, 8:12, 8:18 and 8:20
  • 8:10 is taken as the play time
  • the average value of the play time is 8:16 as the play time
  • 8:20 of the play time is selected as the play time.
  • determining the play time according to the user habit data includes: determining the play time according to the music play record.
  • the playing time is determined for the music playing record after the arrival of the alarm time, which is beneficial to improve the accuracy and user experience of the music playing time.
  • determining the playing time according to the music playing record includes: determining a day schedule from a pre-stored schedule table; and searching, for the music play record, a plurality of historical play records corresponding to the current day schedule; The above playing time is determined based on the plurality of historical play records described above.
  • the user stores the schedule in advance in the mobile terminal to obtain a schedule, that is, when the schedule arrives, it is noted that the date without the schedule may be based on the weekend, weekday, Monday, and the end of the month.
  • the time category at the beginning of the month is determined.
  • the schedule of the day is determined according to the pre-stored schedule table, and then a plurality of historical play records corresponding to the schedule of the previous day are searched from the music play record after the arrival of the alarm, and determined according to the plurality of historical play records.
  • the above playing time thereby narrowing the search range for determining the playing time, and improving the accuracy of determining the playing time according to the schedule of the day.
  • Step S106 Acquire user mood parameters and/or environment parameters when the above playing time arrives.
  • the user mood parameter is reference data for describing the mood of the user, for example, 70% of the sadness, 30% of the confusion, and the behavior data collected by the three-dimensional acceleration sensor can be analyzed and determined, and the person collected according to the camera can also be collected.
  • the sound information collected by the face image and/or microphone is analyzed and determined.
  • the user mood parameter can be represented by a value of 0-100. The more happy the user is, the larger the user's mood parameter is. The lower the user's mood parameter is, the smaller the user's mood parameter can be expressed by the percentage of various emotions. For example, sadness is 70%. The confusion is 30%.
  • the obtaining the user mood parameter includes: acquiring sleep data of a specified time period; parsing the sleep data to obtain a target sleep state; determining a user corresponding to the target sleep state according to a mapping relationship between the preset sleep state and the mood parameter. Mood parameters.
  • mapping relationship between the sleep state and the mood parameter is stored in advance.
  • the mapping relationship is not limited in this application.
  • the above table indicates the mapping relationship between the sleep state and the mood parameter pre-stored in the mobile terminal.
  • the mood parameter is represented by a value of 0-100.
  • the sleep state is determined to be a good corresponding mood parameter. It is [60-100], that is, the above user's mood parameter is [60-100]. Determining the user's mood parameter corresponding to the target sleep state according to the target sleep state analyzed by the sleep data in the specified time period may improve the accuracy of determining the user's mood parameter. And only the sleep data of the specified time period is obtained, which can reduce the power consumption of the mobile terminal.
  • the environmental parameters include at least weather information and ambient light intensity
  • the weather information may be acquired by a weather application software or a plug-in
  • the ambient light intensity may be acquired by the ambient light sensor.
  • Step S108 Determine a target playlist and a play parameter according to the user habit data, the user mood parameter and/or the environment parameter.
  • the playlist in the target playlist may be the music stored locally by the mobile terminal, or may be the music searched in the music library, which is not limited herein.
  • the type of the track in which the track is played can be divided into genres, such as: love songs, cheerful songs, bitter love songs, etc., and can also be divided into audience age groups, such as: after 80, after 90, after 00, etc., or by playing instruments, Such as: piano, violin, guitar, etc., is not limited here.
  • the play parameters may include a play volume, a play tempo, a play effect, and the like, which are not limited herein.
  • the playing track and the playing parameter are determined according to the user habit data, the user mood parameter and/or the environment parameter, that is, the playing track suitable for the user playing habit is obtained through the current state of the user, and the playing accuracy is improved.
  • the foregoing environmental parameter includes the weather information and the ambient light intensity
  • the information, the ambient light intensity determines the play type and the play parameter
  • the target playlist is determined according to the user habit data and the play type.
  • how to determine the play type and the play parameters according to the user mood parameter, the weather information, and the ambient light intensity is not limited, and optionally, determining the influence mood according to the weather information and/or the ambient light intensity.
  • the weather information and the ambient light intensity are likely to affect the user's mood
  • the mapping relationship between the weather information and the ambient light intensity and the user's mood parameter may be pre-stored.
  • the target mood parameter corresponds to the influential mood parameter and the user information parameter.
  • the mapping relationship between the target mood parameter and the play type or the play parameter may also be pre-stored, that is, when the target mood parameter is determined, the corresponding correspondence may be determined. Play type or play parameters.
  • the mood parameter is determined according to the weather information and the ambient light intensity acquired at the playing time, and then the target mood parameter is determined according to the affected mood parameter and the user mood parameter, thereby improving the accuracy of determining the target mood parameter, thereby
  • the target mood parameter determines the above play type and the accuracy of the above play parameters.
  • determining, according to the user habit data and the play type, that the target playlist is not limited, optionally, searching a plurality of song lists corresponding to the play type from the music library; according to the user habit data The target playlist is determined from the plurality of song lists.
  • the music library may be a music library corresponding to the mobile terminal or the music software, or a music file corresponding to the server, which is not limited herein.
  • how to determine the target playlist from the plurality of song lists according to the user habit data is not limited, and the number of times of each song in the song list may be acquired, and then the play corresponding to the song with the most play times is selected.
  • the list is used as the target playlist; the playlist corresponding to the song with the most playback times of the user in the song list is obtained as the target playlist; and the song list includes the singer of the user's favorite singer as the above Target playlists, etc.
  • searching for music from the music library can expand the range of music for searching the playing track, and then determining the target playlist according to the user's habit data in the plurality of song lists corresponding to the play type, thereby improving the accuracy of determining the target playlist. Thereby improving the convenience of the operation and the user experience.
  • the lyric song is searched in the music library, and the song list 1, the song list 2, and the song list 3 are obtained, and it is determined according to the user habit data that the song list 1 contains the lyric song that the user may like.
  • the song list 2 contains 10 songs that the user may like
  • the song list 3 contains 8 songs that the user may like
  • the song list contains the song list of the song list of the lyric songs that the user may like most. 1 playing music, or, in the song list 1, 5 lyric songs that the user may like, 10 lyric songs in the song list 2 that the user may like, and 8 lyric songs in the song list 3 that the user may like as Play the track.
  • determining, according to the user habit data, that the target playlist is determined from the plurality of song lists, according to the user habit data determining, according to the user habit data, a list evaluation value of each song list in the plurality of song lists to obtain a plurality of list evaluation values. And determining a song list corresponding to the maximum value among the plurality of list evaluation values as the target playlist.
  • the list evaluation value may determine the evaluation value of each song in the list according to the user habit data, and then perform weighting; and may also analyze the matching degree between each song list and the user habit data, according to the matching thereof. The degree is determined by the list evaluation value and the like.
  • the list evaluation value of each song list is determined according to the user habit data, and then the song list corresponding to the maximum list evaluation value is selected as the target play list, thereby improving the accuracy of determining the target play list, thereby improving the accuracy of the play. Sex.
  • the foregoing user habit data corresponds to a plurality of play tracks
  • determining the target playlist from the plurality of song lists according to the user habit data includes: determining, according to the user habit data, each play track of the plurality of play tracks.
  • the user evaluation value obtains a plurality of user evaluation values; determining a playing duration according to the user habit data; selecting a plurality of target tracks from the plurality of song lists according to the playing duration and the plurality of user evaluation values; according to the plurality of target tracks Generate the above target playlist.
  • the method for determining the evaluation value of each song is not limited, and may be multiple dimensions such as the number of times the user completes listening, the number of times of loop listening, whether or not to collect, whether to set as ringtone, or whether to recommend to others. Calculate based on the above multiple dimensions.
  • a method for selecting a plurality of target tracks from the plurality of song lists according to the playing duration and the plurality of user evaluation values is not limited, and the plurality of song lists may be directly selected according to the plurality of user evaluation values. Searching for a song having a larger evaluation value, and then determining the plurality of target songs according to the playing duration; determining a plurality of reference songs according to the playing duration, and then selecting the plurality of reference songs from the plurality of reference songs according to the plurality of user evaluation values. Target songs, etc.
  • the playing duration can be determined, so that when the playing time after the playing time arrives, the playing is paused, that is, the operation convenience of the playing is further improved.
  • a plurality of target songs are determined from the plurality of song lists according to the playing duration and the user evaluation value, and the target playlist is generated by the plurality of target songs, and since the songs in the target playlist satisfy the user habit data, Thereby further improving the accuracy of playback.
  • the play type of the play track and the play parameter first determining the play type of the play track and the play parameter according to the user mood parameter, the weather information, and the ambient light intensity, and playing the music corresponding to the current play time, and then according to the user habit data and The above play type selects the above-mentioned play track, that is, the play track satisfies the user's habit data, and improves the accuracy of the play.
  • Step S110 Play the target playlist according to the above play parameters.
  • the playing time of the music playing is determined according to the user habit data, and then the target playlist and the playing parameter are determined according to the user habit data, the user mood parameter and/or the environment parameter, and the target playlist is played according to the playing parameter. That is to say, the above playing time is determined by the mobile terminal according to the user habit data for playing the music, and the playing track and the playing parameter are determined by the mobile terminal according to the user habit data and the user mood parameter and/or the environmental parameter of the playing time, thereby improving the The accuracy of the playback time, the target playlist, and the playback parameters are determined, thereby improving the convenience of the operation and the user experience.
  • FIG. 2 is a music playing device according to an embodiment of the present disclosure.
  • the music playing device includes an obtaining unit 102, a determining unit 104, and a playing unit 106.
  • the obtaining unit 102 is configured to acquire user habit data for music playing, and the determining unit 104 is configured to determine a playing time according to the user habit data.
  • the acquiring unit 102 is further configured to arrive at the playing time.
  • Obtaining a user mood parameter and/or an environment parameter; the determining unit 104 is further configured to: according to the user habit data, the user mood parameter, and/or the environment parameter target playlist and play parameter; the playing unit 105 is configured to The play parameters play the above target playlist.
  • the user habit data for music playing is obtained, the playing time is determined according to the user habit data, and when the playing time arrives, the user mood parameter and/or the environment parameter are obtained, and the user habit data, the user mood parameter, and/or the environment parameter are determined according to the user habit data, the user mood parameter, and/or the environment parameter.
  • the target playlist and play parameters are played back to the target playlist according to the play parameters.
  • the above playing time is determined by the mobile terminal according to the user habit data for playing the music, and the playing track and the playing parameter are determined by the mobile terminal according to the user habit data and the user mood parameter and/or the environmental parameter of the playing time, thereby improving the The accuracy of the playback time, the target playlist, and the playback parameters are determined, thereby improving the convenience of the operation and the user experience.
  • the user habit data includes a music play record after the arrival of the alarm time
  • the determining unit 104 is specifically configured to determine the play time according to the music play record in the foregoing determining the play time according to the user habit data.
  • the determining unit 104 is specifically configured to determine a schedule of the day from the pre-stored schedule table; and search for the schedule corresponding to the previous schedule from the music play record. a plurality of historical play records; determining the play time according to the plurality of historical play records.
  • the foregoing environmental parameter includes a weather information and an ambient light intensity.
  • the determining unit 104 is specifically configured to determine, according to the user habit data, the user mood parameter, and/or the environment parameter, the target playlist and the play parameter.
  • the user mood parameter, the weather information, the ambient light intensity determine the play type and the play parameter; and the play track is determined according to the user habit data and the play type.
  • the determining unit 104 is specifically configured to determine an influence mood according to the weather information and/or the ambient light intensity. a parameter; determining a target mood parameter according to the affected mood parameter and the user mood parameter; and determining the play type and the play parameter according to the target mood parameter.
  • the determining unit 104 is specifically configured to search, from the music library, a plurality of song lists corresponding to the play type; according to the user habit data.
  • the target playlist is determined in the plurality of song lists.
  • the determining unit 104 is specifically configured to determine, according to the user habit data, a user of each of the plurality of play tracks. Evaluating a value, obtaining a plurality of user evaluation values; determining a list evaluation value of each of the plurality of song lists according to the plurality of user evaluation values, obtaining a plurality of list evaluation values; determining a maximum of the plurality of list evaluation values
  • the song list corresponding to the value is the above-mentioned target playlist.
  • the determining unit 104 is specifically configured to determine, according to the user habit data, a user of each of the plurality of play tracks. Evaluating a value, obtaining a plurality of user evaluation values; determining a playing duration according to the user habit data; selecting a plurality of target tracks from the plurality of song lists according to the playing duration and the plurality of user evaluation values; generating the plurality of target tracks according to the plurality of target tracks The above target playlist.
  • the acquiring unit 102 is specifically configured to acquire sleep data of a specified time period; parse the sleep data to obtain a target sleep state; and according to the preset sleep state and the mood parameter The mapping relationship determines the user mood parameter corresponding to the target sleep state.
  • FIG. 3 is a mobile terminal provided by an embodiment of the present application, including: an application processor AP310 and a memory 320, where the AP 310 is connected to the memory 320 through a bus 330; and one or more programs;
  • an application processor AP310 and a memory 320, where the AP 310 is connected to the memory 320 through a bus 330; and one or more programs;
  • the one or more programs described above are stored in the above-described memory 320 and are configured to be executed by the AP 310 described above, the program including instructions for performing the following steps:
  • the target playlist is played by the AP 310 according to the above play parameters.
  • the user habit data for music playing is obtained, and the playing time is determined according to the user habit data, and when the playing time arrives, the user mood parameter and/or the environment parameter are obtained, according to the user habit data, the user mood parameter, and/or the environment.
  • the parameter determines the target playlist and the play parameters, and plays the target playlist according to the play parameters. That is to say, the above playing time is determined by the mobile terminal according to the user habit data for playing the music, and the playing track and the playing parameter are determined by the mobile terminal according to the user habit data and the user mood parameter and/or the environmental parameter of the playing time, thereby improving the The accuracy of the playback time, the target playlist, and the playback parameters are determined, thereby improving the convenience of the operation and the user experience.
  • the user habit data includes a music play record after the arrival of the alarm time; in determining the play time according to the user habit data by the AP 310, the instructions in the program are specifically used to perform the following steps:
  • the above playing time is determined by the AP 310 according to the above music playing record.
  • the above instructions in the program are specifically used to perform the following steps in the foregoing determining, by the AP 310, the playback time according to the music play record:
  • the playing time is determined by the AP 310 according to the plurality of historical play records.
  • the foregoing environmental parameter includes at least weather information and ambient light intensity;
  • the program is determined by the AP 310 according to the user habit data, the user mood parameter, and/or the environment parameter to determine a target playlist and a play parameter.
  • the instructions in are specifically used to perform the following steps:
  • the target playlist is determined by the AP 310 according to the user habit data and the play type described above.
  • the AP310 determines the play type and the play parameter according to the user mood parameter, the weather information, and the ambient light intensity, and the instructions in the foregoing program are specifically used to perform the following steps:
  • the affecting mood parameter is determined by the AP 310 according to the weather information and/or the ambient light intensity;
  • the play type and the play parameter are determined by the AP 310 according to the target mood parameter.
  • the instructions in the foregoing program are specifically used to perform the following steps:
  • the target playlist is determined from the plurality of song lists by the AP 310 according to the user habit data.
  • the instructions in the program are specifically configured to perform the following steps:
  • the song list corresponding to the maximum value among the plurality of list evaluation values is determined by the AP 310 as the target playlist.
  • the user habit data corresponds to a plurality of play tracks
  • the instructions in the program are specifically used to execute the following: step:
  • the target playlist is generated by the AP 310 according to the plurality of target tracks.
  • the instructions in the above program are specifically used to perform the following steps in obtaining the user mood parameter through the AP 310:
  • the sleep data is parsed by the AP 310 to obtain a target sleep state
  • the user mood parameter corresponding to the target sleep state is determined by the AP 310 according to a mapping relationship between a preset sleep state and a mood parameter.
  • the embodiment of the present application further provides another mobile terminal.
  • the mobile terminal can be any mobile terminal including a mobile phone, a tablet computer, a personal digital assistant (PDA), a point of sales (POS), a car computer, and the like.
  • PDA personal digital assistant
  • POS point of sales
  • FIG. 4 is a block diagram showing a part of the structure of the mobile phone provided by the embodiment of the present application.
  • the mobile phone includes: a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a sensor 950, an audio circuit 960, a Wireless Fidelity (Wi-Fi) module 970, and an application processor AP980. And power supply 990 and other components.
  • RF radio frequency
  • RF radio frequency
  • memory 920 includes: a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a sensor 950, an audio circuit 960, a Wireless Fidelity (Wi-Fi) module 970, and an application processor AP980.
  • power supply 990 and other components.
  • the structure of the handset shown in FIG. 4 does not constitute a limitation to the handset, and may include more or less components than those illustrated, or some components may be combined, or different components may be arranged.
  • the input unit 930 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function controls of the handset.
  • the input unit 930 can include a touch display screen 931 and other input devices 932.
  • the touch display 931 can collect touch operations on or near the user (such as the operation of the user using a finger, a stylus, or the like on the touch display 931 or near the touch display 931) And drive the corresponding connection device according to a preset program.
  • the touch display screen 931 can include two parts: a touch detection device and a touch controller.
  • the touch detection device detects the touch orientation of the user, and detects a signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts the touch information into contact coordinates, and sends the touch information.
  • the touch display 931 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves.
  • Other input devices 932 may include, but are not limited to, one or more of physical keys, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, and the like.
  • the AP980 obtains the user habit data for the music playing; the AP980 determines the playing time according to the user habit data; and the AP980 obtains the user mood parameter and/or the environment parameter when the AP980 arrives at the playing time; and the AP980 is used according to the user.
  • the custom data, the user mood parameter and/or the environment parameter determine the target playlist and the play parameter; and the AP980 plays the target playlist according to the play parameter.
  • the AP 980 is the control center of the handset, which utilizes various interfaces and lines to connect various portions of the entire handset, and executes the handset by running or executing software programs and/or modules stored in the memory 920, as well as invoking data stored in the memory 920. A variety of functions and processing data to monitor the phone as a whole.
  • the AP 980 may include one or more processing units; preferably, the AP 980 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application, etc., and performs modulation and demodulation.
  • the processor primarily handles wireless communications. It can be understood that the above modem processor may not be integrated into the AP 980.
  • the memory 920 can be used to store an Android Android system and a lock screen application.
  • the Android system includes a fingerprint service Finger Service and a power management service PMS.
  • memory 920 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
  • the RF circuit 910 can be used for receiving and transmitting information.
  • RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
  • LNA Low Noise Amplifier
  • RF circuitry 910 can also communicate with the network and other devices via wireless communication.
  • the above wireless communication may use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division). Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), E-mail, Short Messaging Service (SMS), and the like.
  • GSM Global System of Mobile communication
  • GPRS General Packet Radio Service
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • LTE Long Term Evolution
  • E-mail Short Messaging Service
  • the handset may also include at least one type of sensor 950, such as a light sensor, motion sensor, and other sensors.
  • the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the touch display screen according to the brightness of the ambient light, and the proximity sensor can turn off the touch display when the mobile phone moves to the ear. And / or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes). When it is stationary, it can detect the magnitude and direction of gravity.
  • the mobile phone can be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, no longer Narration.
  • the gesture of the mobile phone such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration
  • vibration recognition related functions such as pedometer, tapping
  • the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, no longer Narration.
  • the audio circuit 960 includes a speaker 961 and a microphone 962 that provides an audio interface between the user and the handset.
  • the audio circuit 960 can transmit the converted electrical data of the received audio data to the speaker 961 for conversion to the sound signal by the speaker 961; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal by the audio circuit 960. After receiving, it is converted into audio data, and then the audio data is played by the AP 980, sent to the other mobile phone via the RF circuit 910, or the audio data is played to the memory 920 for further processing.
  • Wi-Fi is a short-range wireless transmission technology.
  • the mobile phone can help users to send and receive e-mail, browse web pages and access streaming media through the Wi-Fi module 970, which provides users with wireless broadband Internet access.
  • FIG. 4 shows the Wi-Fi module 970, it can be understood that it does not belong to the essential configuration of the mobile phone, and can be omitted as needed within the scope of not changing the essence of the application.
  • the mobile phone also includes a power source 990 (such as a battery) that supplies power to various components.
  • a power source 990 such as a battery
  • the power source can be logically connected to the AP980 through a power management system to manage functions such as charging, discharging, and power management through the power management system.
  • the mobile phone may further include a camera, a Bluetooth module, and the like, and details are not described herein again.
  • each step method flow can be implemented based on the structure of the mobile phone.
  • each unit function can be implemented based on the structure of the mobile phone.
  • the embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to execute part of any of the music playing methods as described in the foregoing method embodiments. Or all steps.
  • the embodiment of the present application further provides a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause the computer to execute any one of the music described in the foregoing method embodiment Part or all of the steps of the playback method.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of cells is only a logical function division. In actual implementation, there may be another division manner.
  • multiple units or components may be combined or may be integrated into Another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software program module.
  • the integrated unit if implemented in the form of a software program module and sold or used as a standalone product, can be stored in a computer readable memory.
  • the technical solution of the present application in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a memory.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application.
  • the foregoing memory includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.

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Abstract

本申请实施例公开了一种音乐播放方法及相关产品，其中方法包括：获取针对音乐播放的用户习惯数据；根据用户习惯数据确定播放时刻；在播放时刻到达时，获取用户心情参数和/或环境参数；根据用户习惯数据、用户心情参数和/或环境参数确定目标播放列表和播放参数；根据播放参数对目标播放列表进行播放。采用本申请，可提高播放操作的便利性和用户体验。

Description

音乐播放方法及相关产品
本申请要求于2017年6月8日提交中国专利局、申请号为201710430107.3、发明名称为“音乐播放方法及相关产品”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及移动终端技术领域，主要涉及了一种音乐播放方法及相关产品。
背景技术
随着移动终端技术的发展和人们生活水平的提高，播放音乐是现在一种非常流行的手机娱乐应用方式，除了计算机可以播放数字音乐外，常用的电子设备如手机和平板等，通过安装支持数字音乐格式的音乐播放器也可以播放数字音乐，使用户可以利用身边的电子产品听音乐。
申请内容
本申请实施例提供了一种音乐播放方法及相关产品，可提高播放音乐的操作便利性。
第一方面，本申请实施例提供一种音乐播放方法，包括：
获取针对音乐播放的用户习惯数据；
根据所述用户习惯数据确定播放时刻；
在所述播放时刻到达时，获取用户心情参数和/或环境参数；
根据所述用户习惯数据、所述用户心情参数和/或所述环境参数确定目标播放列表和播放参数；
按照所述播放参数对所述目标播放列表进行播放。
第二方面，本申请实施例提供一种音乐播放装置，包括：
获取单元，用于获取针对音乐播放的用户习惯数据；
确定单元，用于根据所述用户习惯数据确定播放时刻；
所述获取单元，还用于在所述播放时刻到达时，获取用户心情参数和/或环境参数；
所述确定单元，还用于根据所述用户习惯数据、所述用户心情参数和/或所述环境参数目标播放列表和播放参数；
播放单元，用于按照所述播放参数对所述目标播放列表进行播放。
第三方面，本申请实施例提供了一种移动终端，包括：应用处理器AP和存储器；以及一个或多个程序；
所述一个或多个程序被存储在所述存储器中，并且被配置成由所述AP执行，所述程序包括用于执行以下步骤的指令；
通过所述AP获取针对音乐播放的用户习惯数据；
通过所述AP根据所述用户习惯数据确定播放时刻；
通过所述AP在所述播放时刻到达时，获取用户心情参数和/或环境参数；
通过所述AP根据所述用户习惯数据、所述用户心情参数和/或所述环境参数确定目标播放列表和播放参数；
通过所述AP根据所述播放参数对所述目标播放列表进行播放。
第四方面，本申请实施例提供了一种计算机可读存储介质，其中，所述计算机可读存储介质存储用于电子数据交换的计算机程序，其中，所述计算机程序使得计算机执行如本申请实施例第一方面任一方法中所描述的部分或全部步骤。
第五方面，本申请实施例提供了一种计算机程序产品，其中，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如本申请实施例第一方面任一方法中所描述的部分或全部步骤。该计算机程序产品可以为一个软件安装包。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
其中：
图1为本申请实施例提供的一种音乐播放方法的流程示意图；
图2为本申请实施例提供的一种音乐播放装置的结构示意图；
图3为本申请实施例提供的一种移动终端的结构示意图；
图4为本申请实施例提供的另一种移动终端的结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请实施例提供了一种音乐播放方法。该方法的实现可依赖于计算机程序，该计算机程序可运行于基于冯诺依曼体系的计算机系统之上，该计算机程序可以是移动终端上的音乐播放软件中的一个独立的应用，或者基于音乐播放软件开发的功能选项或应用插件。可安装在运行IOS、Android、Windows Phone等操作系统的移动终端中，该移动终端包括但不限于个人计算机、服务器计算机、手持式或膝上型、消费型电子设备、智能手机、平板电脑、媒体播放器和多处理器系统等等。
具体的，如图1所示，一种音乐播放方法，包括：
步骤S102：获取针对音乐播放的用户习惯数据。
本实施例中，针对音乐播放的用户习惯数据可包括用户使用移动终端的播放器或音乐应用软件进行音乐播放的音乐播放记录，也可包括对上述音乐播放记录进行分析得到的偏好数据。其中，音乐播放记录可包括播放记录、搜索记录等，偏好数据可包括播放时间、播放曲目、播放音量、播放类型(例如：快歌、慢歌、乡村、摇滚、歌手等)等，即通过上述用户习惯数据可确定用户习惯在什么状态下收听什么类型的音乐。
例如，用户1针对音乐播放的用户习惯数据为早上醒来后至上午工作之前收听最新歌曲，用户2针对音乐播放的用户习惯数据为工作时收听励志音乐，用户3针对音乐播放的用户习惯数据为中午和晚上做饭的时间收听轻音乐等。
步骤S104：根据上述用户习惯数据确定播放时刻。
本实施例中，对于如何根据用户习惯数据确定播放时刻不做限定，可根据用户习惯数据获取用户通常播放音乐的时间，再统计通常播放音乐的时间段的播放次数，获取播放次数中的最大值对应的时间段中的平均值、最早时间或任一值作为播放时刻，从而提高确定播放时刻的准确性，便于提高音乐播放的操作便利性。
举例来说，用户习惯数据中是在上班途中收听音乐，获取上周一至周五的音乐播放记录，得到8点10分、8点20分、8点12分、8点18分和8点20分，可取8点10分作为播放时刻，取播放时刻的平均值8点16分作为播放时刻，或者选择播放时刻最多的8点20分作为播放时刻。
可选的，在上述用户习惯数据包括闹铃时刻到达后的音乐播放记录时，上述根据上述用户习惯数据确定播放时刻包括：根据上述音乐播放记录确定上述播放时刻。
由于用户在起床后可能会赖床几分钟，则在闹铃时刻进行音乐播放会影响用户的睡眠质量和心情。而针对闹铃时刻到达后的音乐播放记录确定播放时刻，利于提高音乐播放时刻的准确性和用户体验。
举例来说，假设用户的闹铃时刻为早上7点20分，统计用户在早上7点20分闹铃后的音乐播放记录，得到的用户习惯数据为关闭闹铃后的五分钟内进行音乐播放，则将7点25分设置为播放时刻。
可选的，上述根据上述音乐播放记录确定上述播放时刻，包括：从预先存储的日程安排表中确定当天日程安排；从上述音乐播放记录中查找与上述当天日程安排对应的多个历史播放记录；根据上述多个历史播放记录确定上述播放时刻。
本实施例中，用户在移动终端中预先将日程安排进行存储得到日程安排表，即在日程到达时进行提醒，需要说明的是，没有日程安排的日期可以根据周末、工作日、周一、月底、月初等时间类别进行确定。
可以理解，先根据预先存储的日程安排表确定当天日程安排，然后从上述闹铃到达后的音乐播放记录中查找与上述当天日程安排对应的多个历史播放记录，根据上述多个历史播放记录确定上述播放时刻，从而缩小确定播放时刻 的查找范围，且根据当天日程安排可提高确定播放时刻的准确率。
步骤S106：在上述播放时刻到达时，获取用户心情参数和/或环境参数。
本实施例中，用户心情参数是用于描述用户心情的参考数据，例如，难过为70％，困惑为30％，可通过三维加速度传感器采集的行为数据进行分析确定，还可根据摄像头采集的人脸图像和/麦克风采集的声音信息进行分析确定。
用户心情参数可以以0-100数值表示，用户越高兴其用户心情参数越大，用户越低落其用户心情参数越小，还可以以各种情绪所占的百分比表示，例如，难过为70％，困惑为30％。
可选的，上述获取用户心情参数包括：获取指定时间段的睡眠数据；对睡眠数据进行解析得到目标睡眠状态；按照预设的睡眠状态与心情参数之间的映射关系确定目标睡眠状态对应的用户心情参数。
其中，预先存储睡眠状态与心情参数之间的映射关系，本申请对于上述的映射关系不做限定。
睡眠状态 心情参数
糟糕 0-40
一般 40-60
良好 60-100
举例来说，请参照上表，上表表示移动终端中预先存储睡眠状态与心情参数之间的映射关系，心情参数以0-100数值表示。假设指定时间段为闹铃前一个小时，则采集闹铃时刻前一个小时的睡眠数据，解析这一个小时的睡眠数据得到目标睡眠状态为良好，根据上表可确定睡眠状态为良好对应的心情参数为[60-100]，即上述用户心情参数为[60-100]。根据指定时间段内的睡眠数据解析得到的目标睡眠状态，确定与目标睡眠状态对应的用户心情参数，可提高确定用户心情参数的准确性。且只获取指定时间段的睡眠数据，可减少移动终端的功耗。
在本实施例中，环境参数至少包括天气信息和环境光线强度，天气信息可通过天气应用软件或插件获取，环境光线强度可通过环境光传感器进行获取。
步骤S108：根据上述用户习惯数据、上述用户心情参数和/或上述环境参 数确定目标播放列表和播放参数。
本实施例中，目标播放列表中的播放曲目可以是移动终端本地存储的音乐，也可以是音乐库中搜索的音乐，在此不做限定。其播放曲目的曲目类型可以以曲风划分，如：抒情歌、欢快歌曲、苦情歌等，还可以以听众年龄段划分，如：80后、90后、00后等，或者以演奏乐器划分，如：钢琴曲、小提琴、吉他等等，在此也不做限定。
播放参数可包括播放音量、播放节奏、播放效果等，在此也不做限定。当移动终端与可穿戴设备或其他移动终端连接时，还可通过播放参数实现多个设备之间的同步播放，从而满足其它用户的播放需求。
可以理解，根据用户习惯数据、用户心情参数和/或环境参数确定播放曲目和播放参数，即通过用户的当前状态获取适合用户播放习惯的播放曲目，提高播放的准确性。
可选的，在上述环境参数包括天气信息和环境光线强度时，上述根据上述用户习惯数据、上述用户心情参数和/或上述环境参数确定播放曲目和播放参数包括：根据上述用户心情参数、上述天气信息、上述环境光线强度确定上述播放类型和上述播放参数；根据上述用户习惯数据和上述播放类型确定上述目标播放列表。
本实施例中，对于如何根据述用户心情参数、上述天气信息、上述环境光线强度确定播放类型和上述播放参数不做限定，可选的，根据上述天气信息和/或上述环境光线强度确定影响心情参数；根据上述影响心情参数和上述用户心情参数确定目标心情参数；根据上述目标心情参数确定上述播放类型和上述播放参数。
本实施例中，天气信息和环境光线强度易影响用户心情，可预先存储天气信息和环境光线强度与用户心情参数之间的映射关系，在确定上述播放时刻获取的天气信息和环境光线强度时，即可确定对应的影响心情参数。
目标心情参数与影响心情参数和用户信息参数对应，本实施例中，还可预先存储目标心情参数与播放类型或播放参数之间的映射关系，即在确定上述目标心情参数时，即可确定对应播放类型或播放参数。
可以理解，先根据上述播放时刻获取的天气信息和环境光线强度确定影响 心情参数，然后根据上述影响心情参数和上述用户心情参数确定目标心情参数，可提高确定目标心情参数的准确性，从而根据上述目标心情参数确定上述播放类型和上述播放参数的准确性。
本实施例中，对于如何根据上述用户习惯数据和上述播放类型确定上述目标播放列表不做限定，可选的，从音乐库中搜索与上述播放类型对应的多个歌曲列表；根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表。
其中，音乐库可以是移动终端或音乐软件对应的音乐库，也可以服务器对应的音乐文件，在此不做限定。
本实施例中，对于如何根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表不做限定，可以获取歌曲列表中每一歌曲的播放次数，然后选取最多播放次数的歌曲对应的播放列表作为上述目标播放列表；也可获取歌曲列表中用户近一段时间的播放次数最多的歌曲所对应的播放列表作为上述目标播放列表；还可获取歌曲列表中包含用户偏爱的歌手所演唱的作为上述目标播放列表等。
可以理解，从音乐库中搜索音乐可扩大搜索播放曲目的音乐范围，然后在满足与播放类型对应的多个歌曲列表中根据用户习惯数据确定目标播放列表，可提高确定目标播放列表的准确性，从而提高操作的便利性和用户体验。
举例来说，当确定播放类型为抒情歌后，在音乐库中搜索抒情歌，得到歌曲列表1、歌曲列表2和歌曲列表3，根据用户习惯数据确定歌曲列表1包含该用户可能喜欢的抒情歌有5首、歌曲列表2包含该用户可能喜欢的抒情歌有10首、歌曲列表3包含该用户可能喜欢的抒情歌有8首，以包含最多该用户可能喜欢的抒情歌的歌曲列表的歌曲列表1进行音乐播放，或者，将歌曲列表1中该用户可能喜欢的5首抒情歌、歌曲列表2中该用户可能喜欢的10首抒情歌和歌曲列表3中该用户可能喜欢的8首抒情歌作为播放曲目。
可选的，上述根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表包括：根据上述用户习惯数据确定上述多个歌曲列表中每一歌曲列表的列表评价值得到多个列表评价值；确定上述多个列表评价值中的最大值对应的歌曲列表为上述目标播放列表。
本实施例中，列表评价值可以根据上述用户习惯数据确定列表中每一歌曲 的评价值，然后进行加权得到；也可以分析每一歌曲列表和上述用户习惯数据之间的匹配度，根据其匹配度确定列表评价值等。
可以理解，先根据上述用户习惯数据确定每一歌曲列表的列表评价值，然后选取最大列表评价值对应的歌曲列表作为上述目标播放列表，可提高确定目标播放列表的准确性，从而提高播放的准确性。
可选的，上述用户习惯数据对应多个播放曲目，上述根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表包括：根据上述用户习惯数据确定上述多个播放曲目中每一播放曲目的用户评价值得到多个用户评价值；根据上述用户习惯数据确定播放时长；根据上述播放时长和上述多个用户评价值从上述多个歌曲列表中选取多个目标曲目；根据上述多个目标曲目生成上述目标播放列表。
本实施例中，对于每一歌曲的评价值的确定方法不做限定，可以是用户完整收听的次数、循环收听的次数、是否收藏、是否设置为来电铃声、是否推荐给他人等多个维度，根据以上多个维度进行计算。
本实施例中，对于根据上述播放时长和上述多个用户评价值从上述多个歌曲列表中选取多个目标曲目的方法不做限定，可直接根据上述多个用户评价值从上述多个歌曲列表中查找评价值较大的歌曲，然后根据上述播放时长确定上述多个目标歌曲；也可根据上述播放时长确定多个参考歌曲，然后根据多个用户评价值从上述多个参考歌曲中选取上述多个目标歌曲等。
可以理解，根据上述用户习惯数据除了确定播放时刻，还可确定播放时长，从而在播放时刻之后的播放时长到达时，暂停播放，即进一步提高播放的操作便利性。然后，根据上述播放时长和上述用户评价值从上述多个歌曲列表中确定多个目标歌曲，由上述多个目标歌曲生成上述目标播放列表，由于该目标播放列表中的歌曲均满足用户习惯数据，从而进一步提高了播放的准确性。
本实施例中，先根据上述用户心情参数、上述天气信息和上述环境光线强度确定上述播放曲目的播放类型和上述播放参数，即可播放与当前播放时刻对应的音乐，再根据上述用户习惯数据和上述播放类型选择上述播放曲目，即播放曲目满足上述用户习惯数据，提高播放的准确性。
步骤S110：根据上述播放参数对上述目标播放列表进行播放。
可以理解，根据用户习惯数据确定音乐播放的播放时刻，再根据用户习惯数据、用户心情参数和/或环境参数确定目标播放列表和播放参数，根据播放参数对目标播放列表进行播放。也就是说，上述播放时刻由移动终端根据针对音乐播放的用户习惯数据进行确定，播放曲目和播放参数由移动终端根据用户习惯数据和播放时刻的用户心情参数和/或环境参数进行确定，提高了确定播放时刻、目标播放列表和播放参数的准确性，从而提高了操作的便利性和用户体验。
请参照图2，图2是本申请实施例提供的一种音乐播放装置，如图2所示，上述音乐播放装置包括获取单元102、确定单元104以及播放单元106。
在本实施例中，获取单元102，用于获取针对音乐播放的用户习惯数据；确定单元104，用于根据上述用户习惯数据确定播放时刻；上述获取单元102，还用于在上述播放时刻到达时，获取用户心情参数和/或环境参数；上述确定单元104，还用于根据上述用户习惯数据、上述用户心情参数和/或上述环境参数目标播放列表和播放参数；播放单元105，用于按照上述播放参数对上述目标播放列表进行播放。
可以理解，获取针对音乐播放的用户习惯数据，根据用户习惯数据确定播放时刻，在播放时刻到达时，获取用户心情参数和/或环境参数，根据用户习惯数据、用户心情参数和/或环境参数确定目标播放列表和播放参数，根据播放参数对目标播放列表进行播放。也就是说，上述播放时刻由移动终端根据针对音乐播放的用户习惯数据进行确定，播放曲目和播放参数由移动终端根据用户习惯数据和播放时刻的用户心情参数和/或环境参数进行确定，提高了确定播放时刻、目标播放列表和播放参数的准确性，从而提高了操作的便利性和用户体验。
可选的，上述用户习惯数据包括闹铃时刻到达后的音乐播放记录，在上述根据上述用户习惯数据确定播放时刻方面，上述确定单元104具体用于根据上述音乐播放记录确定上述播放时刻。
可选的，在上述根据上述音乐播放记录确定播放时刻方面，上述确定单元104具体用于从预先存储的日程安排表中确定当天日程安排；从上述音乐播放 记录中查找与上述当天日程安排对应的多个历史播放记录；根据上述多个历史播放记录确定上述播放时刻。
可选的，上述环境参数包括天气信息和环境光线强度，在上述根据上述用户习惯数据、上述用户心情参数和/或上述环境参数确定目标播放列表和播放参数方面，上述确定单元104具体用于根据上述用户心情参数、上述天气信息、上述环境光线强度确定播放类型和上述播放参数；根据上述用户习惯数据和上述播放类型确定上述播放曲目。
可选的，在上述根据上述用户心情参数、上述天气信息、上述环境光线强度确定播放类型和上述播放参数方面，上述确定单元104具体用于根据上述天气信息和/或上述环境光线强度确定影响心情参数；根据上述影响心情参数和上述用户心情参数确定目标心情参数；根据上述目标心情参数确定上述播放类型和上述播放参数。
可选的，在上述根据上述用户习惯数据和上述播放类型确定上述播放曲目方面，上述确定单元104具体用于从音乐库中搜索与上述播放类型对应的多个歌曲列表；根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表。
可选的，在上述根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表方面，上述确定单元104具体用于根据上述用户习惯数据确定上述多个播放曲目中每一播放曲目的用户评价值，得到多个用户评价值；根据上述多个用户评价值确定上述多个歌曲列表中每一歌曲列表的列表评价值，得到多个列表评价值；确定上述多个列表评价值中的最大值对应的歌曲列表为上述目标播放列表。
可选的，在上述根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表方面，上述确定单元104具体用于根据上述用户习惯数据确定上述多个播放曲目中每一播放曲目的用户评价值，得到多个用户评价值；根据上述用户习惯数据确定播放时长；根据上述播放时长和上述多个用户评价值从上述多个歌曲列表中选取多个目标曲目；根据上述多个目标曲目生成上述目标播放列表。
可选的，在上述获取用户心情参数方面，上述获取单元102具体用于获取 指定时间段的睡眠数据；对上述睡眠数据进行解析，得到目标睡眠状态；按照预设的睡眠状态与心情参数之间的映射关系确定上述目标睡眠状态对应的上述用户心情参数。
请参照图3，图3是本申请实施例提供的一种移动终端，包括：应用处理器AP310和存储器320，上述AP310通过总线330连接上述存储器320；以及一个或多个程序；
上述一个或多个程序被存储在上述存储器320中，并且被配置成由上述AP310执行，上述程序包括用于执行以下步骤的指令：
通过上述AP310获取针对音乐播放的用户习惯数据；
通过上述AP310根据上述用户习惯数据确定播放时刻；
通过上述AP310在上述播放时刻到达时，获取用户心情参数和/或环境参数；
通过上述AP310根据上述用户习惯数据、上述用户心情参数和/或上述环境参数确定目标播放列表和播放参数；
通过上述AP 310根据上述播放参数对上述目标播放列表进行播放。
本实施例中，获取针对音乐播放的用户习惯数据，根据用户习惯数据确定播放时刻，在播放时刻到达时，获取用户心情参数和/或环境参数，根据用户习惯数据、用户心情参数和/或环境参数确定目标播放列表和播放参数，根据播放参数对目标播放列表进行播放。也就是说，上述播放时刻由移动终端根据针对音乐播放的用户习惯数据进行确定，播放曲目和播放参数由移动终端根据用户习惯数据和播放时刻的用户心情参数和/或环境参数进行确定，提高了确定播放时刻、目标播放列表和播放参数的准确性，从而提高了操作的便利性和用户体验。
在一个可能的示例中，上述用户习惯数据包括闹铃时刻到达后的音乐播放记录；在通过上述AP310根据上述用户习惯数据确定播放时刻方面，上述程序中的指令具体用于执行以下步骤：
通过上述AP310根据上述音乐播放记录确定上述播放时刻。
在一个可能的示例中，在上述通过上述AP310根据上述音乐播放记录确 定上述播放时刻方面，上述程序中的指令具体用于执行以下步骤：
通过上述AP310从预先存储的日程安排表中确定当天日程安排；
通过上述AP310从上述音乐播放记录中查找与上述当天日程安排对应的多个历史播放记录；
通过上述AP310根据上述多个历史播放记录确定上述播放时刻。
在一个可能的示例中，上述环境参数至少包括天气信息和环境光线强度；在通过上述AP310根据上述用户习惯数据、上述用户心情参数和/或上述环境参数确定目标播放列表和播放参数方面，上述程序中的指令具体用于执行以下步骤：
通过AP310根据上述用户心情参数、上述天气信息、上述环境光线强度确定上述播放类型和上述播放参数；
通过AP310根据上述用户习惯数据和上述播放类型确定上述目标播放列表。
在一个可能的示例中，在通过上述AP310根据上述用户心情参数、上述天气信息、上述环境光线强度确定播放类型和上述播放参数方面，上述程序中的指令具体用于执行以下步骤：
通过上述AP310根据上述天气信息和/或上述环境光线强度确定影响心情参数；
通过上述AP310根据上述影响心情参数和上述用户心情参数确定目标心情参数；
通过上述AP310根据上述目标心情参数确定上述播放类型和上述播放参数。
在一个可能的示例中，在通过上述AP310根据上述用户习惯数据和上述播放类型确定上述目标播放列表方面，上述程序中的指令具体用于执行以下步骤：
通过上述AP310从音乐库中搜索与上述播放类型对应的多个歌曲列表；
通过上述AP310根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表。
在一个可能的示例中，在通过上述AP310根据上述用户习惯数据从上述 多个歌曲列表中确定上述目标播放列表方面，上述程序中的指令具体用于执行以下步骤：
通过上述AP310根据上述用户习惯数据确定上述多个歌曲列表中每一歌曲列表的列表评价值，得到多个列表评价值；
通过上述AP310确定上述多个列表评价值中的最大值对应的歌曲列表为上述目标播放列表。
在一个可能的示例中，上述用户习惯数据对应多个播放曲目，在通过上述AP310根据上述用户习惯数据从上述多个歌曲列表中确定上述目标播放列表方面，上述程序中的指令具体用于执行以下步骤：
根据上述用户习惯数据确定上述多个播放曲目中每一播放曲目的用户评价值，得到多个用户评价值；
通过上述AP310根据上述用户习惯数据确定播放时长；
通过上述AP310根据上述播放时长和上述多个用户评价值从上述多个歌曲列表中选取多个目标曲目；
通过上述AP310根据上述多个目标曲目生成上述目标播放列表。在一个可能的示例中，在通过上述AP310获取用户心情参数方面，上述程序中的指令具体用于执行以下步骤：
通过上述AP310获取指定时间段的睡眠数据；
通过上述AP310对上述睡眠数据进行解析得到目标睡眠状态；
通过上述AP310按照预设的睡眠状态与心情参数之间的映射关系确定上述目标睡眠状态对应的上述用户心情参数。
本申请实施例还提供了另一种移动终端，如图4所示，为了便于说明，仅示出了与本申请实施例相关的部分，具体技术细节未揭示的，请参照本申请实施例方法部分。该移动终端可以为包括手机、平板电脑、个人数字助理(Personal Digital Assistant，PDA)、销售终端(Point of Sales，POS)、车载电脑等任意移动终端。
以移动终端为手机为例，图4示出的是与本申请实施例提供的手机的部分结构的框图。参考图4，手机包括：射频(Radio Frequency，RF)电路910、 存储器920、输入单元930、传感器950、音频电路960、无线保真(Wireless Fidelity，Wi-Fi)模块970、应用处理器AP980、以及电源990等部件。本领域技术人员可以理解，图4中示出的手机结构并不构成对手机的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
下面结合图4对手机的各个构成部件进行具体的介绍：
输入单元930可用于接收输入的数字或字符信息，以及产生与手机的用户设置以及功能控制有关的键信号输入。具体地，输入单元930可包括触控显示屏931和其他输入设备932。触控显示屏931，可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控显示屏931上或在触控显示屏931附近的操作)，并根据预先设定的程式驱动相应的连接装置。可选的，触控显示屏931可包括触摸检测装置和触摸控制器两个部分。其中，触摸检测装置检测用户的触摸方位，并检测触摸操作带来的信号，将信号传送给触摸控制器；触摸控制器从触摸检测装置上接收触摸信息，并将它转换成触点坐标，再送给AP980，并能接收AP980发来的命令并加以执行。此外，可以采用电阻式、电容式、红外线以及表面声波等多种类型实现触控显示屏931。其他输入设备932可以包括但不限于物理按键、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。其中，通过AP980获取针对音乐播放的用户习惯数据；通过上述AP980根据用户习惯数据确定播放时刻；通过上述AP980在上述播放时刻到达时，获取用户心情参数和/或环境参数；通过上述AP980根据上述用户习惯数据、上述用户心情参数和/或上述环境参数确定目标播放列表和播放参数；通过上述AP980根据上述播放参数对上述目标播放列表进行播放。
AP980是手机的控制中心，利用各种接口和线路连接整个手机的各个部分，通过运行或执行存储在存储器920内的软件程序和/或模块，以及调用存储在存储器920内的数据，执行手机的各种功能和处理数据，从而对手机进行整体监控。可选的，AP980可包括一个或多个处理单元；优选的，AP980可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到AP980中。
存储器920可用于存储安卓Android系统、锁屏应用，Android系统包括指纹服务Finger Service、电源管理服务PMS。此外，存储器920可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
RF电路910可用于信息的接收和发送。通常，RF电路910包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器(Low Noise Amplifier，LNA)、双工器等。此外，RF电路910还可以通过无线通信与网络和其他设备通信。上述无线通信可以使用任一通信标准或协议，包括但不限于全球移动通讯系统(Global System of Mobile communication，GSM)、通用分组无线服务(General Packet Radio Service，GPRS)、码分多址(Code Division Multiple Access，CDMA)、宽带码分多址(Wide band Code Division Multiple Access，WCDMA)、长期演进(Long Term Evolution，LTE)、电子邮件、短消息服务(Short Messaging Service，SMS)等。
手机还可包括至少一种传感器950，比如光传感器、运动传感器以及其他传感器。具体地，光传感器可包括环境光传感器及接近传感器，其中，环境光传感器可根据环境光线的明暗来调节触控显示屏的亮度，接近传感器可在手机移动到耳边时，关闭触控显示屏和/或背光。作为运动传感器的一种，加速计传感器可检测各个方向上(一般为三轴)加速度的大小，静止时可检测出重力的大小及方向，可用于识别手机姿态的应用(比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等；至于手机还可配置的陀螺仪、气压计、湿度计、温度计、红外线传感器等其他传感器，在此不再赘述。
音频电路960包括扬声器961和传声器962，可提供用户与手机之间的音频接口。音频电路960可将接收到的音频数据转换后的电信号，传输到扬声器961，由扬声器961转换为声音信号播放；另一方面，传声器962将收集的声音信号转换为电信号，由音频电路960接收后转换为音频数据，再将音频数据播放AP980处理后，经RF电路910以发送给比如另一手机，或者将音频数据播放至存储器920以便进一步处理。
Wi-Fi属于短距离无线传输技术，手机通过Wi-Fi模块970可以帮助用户收发电子邮件、浏览网页和访问流式媒体等，它为用户提供了无线的宽带互联网访问。虽然图4示出了Wi-Fi模块970，但是可以理解的是，其并不属于手机的必须构成，完全可以根据需要在不改变申请的本质的范围内而省略。
手机还包括给各个部件供电的电源990(比如电池)，优选的，电源可以通过电源管理系统与AP980逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。
尽管未示出，手机还可以包括摄像头、蓝牙模块等，在此不再赘述。
前述图1所示的实施例中，各步骤方法流程可以基于该手机的结构实现。
前述图2所示的实施例中，各单元功能可以基于该手机的结构实现。
本申请实施例还提供一种计算机存储介质，其中，该计算机存储介质存储用于电子数据交换的计算机程序，该计算机程序使得计算机执行如上述方法实施例中记载的任何一种音乐播放方法的部分或全部步骤。
本申请实施例还提供一种计算机程序产品，计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，计算机程序可操作来使计算机执行如上述方法实施例中记载的任何一种音乐播放方法的部分或全部步骤。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形 式。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件程序模块的形式实现。
集成的单元如果以软件程序模块的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储器中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储器中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本申请各个实施例方法的全部或部分步骤。而前述的存储器包括：U盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储器中，存储器可以包括：闪存盘、只读存储器、随机存取器、磁盘或光盘等。
以上对本申请实施例进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的方法及其核心思想；同时，对于本领域的一般技术人员，依据本申请的思想，在具体实施方式及应用范围上均会有改变之处，综上，本说明书内容不应理解为对本申请的限制。

Claims (20)

  1. 一种音乐播放方法，其特征在于，包括：
    获取针对音乐播放的用户习惯数据；
    根据所述用户习惯数据确定播放时刻；
    在所述播放时刻到达时，获取用户心情参数和/或环境参数；
    根据所述用户习惯数据、所述用户心情参数和/或所述环境参数确定目标播放列表和播放参数；
    按照所述播放参数对所述目标播放列表进行播放。
  2. 根据权利要求1所述的方法，其特征在于，所述用户习惯数据包括闹铃时刻到达后的音乐播放记录，所述根据所述用户习惯数据确定播放时刻，包括：
    根据所述音乐播放记录确定所述播放时刻。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述音乐播放记录确定所述播放时刻，包括：
    从预先存储的日程安排表中确定当天日程安排；
    从所述音乐播放记录中查找与所述当天日程安排对应的多个历史播放记录；
    根据所述多个历史播放记录确定所述播放时刻。
  4. 根据权利要求1-3任一项所述的方法，其特征在于，所述环境参数至少包括天气信息和环境光线强度，所述根据所述用户习惯数据、所述用户心情参数和/或所述环境参数确定目标播放列表和播放参数，包括：
    根据所述用户心情参数、所述天气信息、所述环境光线强度确定播放类型和所述播放参数；
    根据所述用户习惯数据和所述播放类型确定所述目标播放列表。
  5. 根据权利要求4所述的方法，其特征在于，所述根据所述用户心情参数、所述天气信息、所述环境光线强度确定播放类型和所述播放参数，包括：
    根据所述天气信息和/或所述环境光线强度确定影响心情参数；
    根据所述影响心情参数和所述用户心情参数确定目标心情参数；
    根据所述目标心情参数确定所述播放类型和所述播放参数。
  6. 根据权利要求4或5所述的方法，其特征在于，所述根据所述用户习惯数据和所述播放类型确定所述目标播放列表，包括：
    从音乐库中搜索与所述播放类型对应的多个歌曲列表；
    根据所述用户习惯数据从所述多个歌曲列表中确定所述目标播放列表。
  7. 根据权利要求6所述的方法，其特征在于，所述根据所述用户习惯数据从所述多个歌曲列表中确定所述目标播放列表，包括：
    根据所述用户习惯数据确定所述多个歌曲列表中每一歌曲列表的列表评价值，得到多个列表评价值；
    确定所述多个列表评价值中的最大值对应的歌曲列表为所述目标播放列表。
  8. 根据权利要求6所述的方法，其特征在于，所述用户习惯数据对应多个播放曲目，所述根据所述用户习惯数据从所述多个歌曲列表中确定所述目标播放列表，包括：
    根据所述用户习惯数据确定所述多个播放曲目中每一播放曲目的用户评价值，得到多个用户评价值；
    根据所述用户习惯数据确定播放时长；
    根据所述播放时长和所述多个用户评价值从所述多个歌曲列表中选取多个目标曲目；
    根据所述多个目标曲目生成所述目标播放列表。
  9. 根据权利要求1-4任一项所述的方法，其特征在于，所述获取用户心 情参数，包括：
    获取指定时间段的睡眠数据；
    对所述睡眠数据进行解析，得到目标睡眠状态；
    按照预设的睡眠状态与心情参数之间的映射关系确定所述目标睡眠状态对应的所述用户心情参数。
  10. 一种音乐播放装置，其特征在于，包括：
    获取单元，用于获取针对音乐播放的用户习惯数据；
    确定单元，用于根据所述用户习惯数据确定播放时刻；
    所述获取单元，还用于在所述播放时刻到达时，获取用户心情参数和/或环境参数；
    所述确定单元，还用于根据所述用户习惯数据、所述用户心情参数和/或所述环境参数目标播放列表和播放参数；
    播放单元，用于按照所述播放参数对所述目标播放列表进行播放。
  11. 根据权利要求10所述的装置，其特征在于，所述用户习惯数据包括闹铃时刻到达后的音乐播放记录，在所述根据所述用户习惯数据确定播放时刻方面，所述确定单元具体用于根据所述音乐播放记录确定所述播放时刻。
  12. 根据权利要求11所述的装置，其特征在于，在所述根据所述音乐播放记录确定播放时刻方面，所述确定单元具体用于从预先存储的日程安排表中确定当天日程安排；从所述音乐播放记录中查找与所述当天日程安排对应的多个历史播放记录；根据所述多个历史播放记录确定所述播放时刻。
  13. 根据权利要求10-12任一项所述的装置，其特征在于，所述环境参数包括天气信息和环境光线强度，在所述根据所述用户习惯数据、所述用户心情参数和/或所述环境参数确定目标播放列表和播放参数方面，所述确定单元具体用于根据所述用户心情参数、所述天气信息、所述环境光线强度确定播放类型和所述播放参数；根据所述用户习惯数据和所述播放类型确定所述播放曲目。
  14. 根据权利要求13所述的装置，其特征在于，在所述根据所述用户心情参数、所述天气信息、所述环境光线强度确定播放类型和所述播放参数方面，所述确定单元具体用于根据所述天气信息和/或所述环境光线强度确定影响心情参数；根据所述影响心情参数和所述用户心情参数确定目标心情参数；根据所述目标心情参数确定所述播放类型和所述播放参数。
  15. 根据权利要求13或14所述的装置，其特征在于，在所述根据所述用户习惯数据和所述播放类型确定所述播放曲目方面，所述确定单元具体用于从音乐库中搜索与所述播放类型对应的多个歌曲列表；根据所述用户习惯数据从所述多个歌曲列表中确定所述目标播放列表。
  16. 根据权利要求15所述的装置，其特征在于，在所述根据所述用户习惯数据从所述多个歌曲列表中确定所述目标播放列表方面，所述确定单元具体用于根据所述用户习惯数据确定所述多个播放曲目中每一播放曲目的用户评价值，得到多个用户评价值；根据所述多个用户评价值确定所述多个歌曲列表中每一歌曲列表的列表评价值，得到多个列表评价值；确定所述多个列表评价值中的最大值对应的歌曲列表为所述目标播放列表。
  17. 根据权利要求15所述的装置，其特征在于，在所述根据所述用户习惯数据从所述多个歌曲列表中确定所述目标播放列表方面，所述确定单元具体用于根据所述用户习惯数据确定所述多个播放曲目中每一播放曲目的用户评价值，得到多个用户评价值；根据所述用户习惯数据确定播放时长；根据所述播放时长和所述多个用户评价值从所述多个歌曲列表中选取多个目标曲目；根据所述多个目标曲目生成所述目标播放列表。
  18. 一种移动终端，包括：应用处理器AP和存储器；以及一个或多个程序；
    所述一个或多个程序被存储在所述存储器中，并且被配置成由所述AP执 行，所述程序包括用于执行如权利要求1-9所述的方法中步骤的指令。
  19. 一种计算机可读存储介质，其特征在于，其存储用于电子数据交换的计算机程序，其中，所述计算机程序使得计算机执行如权利要求1-9所述的方法。
  20. 一种计算机程序产品，其特征在于，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如权利要求1-9任一项所述的方法。
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