CN113282784A - Audio recommendation method, computing device and computer storage medium for dialog novel - Google Patents
Audio recommendation method, computing device and computer storage medium for dialog novel Download PDFInfo
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Abstract
The invention discloses an audio recommendation method, a computing device and a computer storage medium for a dialog novel, wherein the method comprises the following steps: acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents; according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended; and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box. The method realizes the listening function of the dialog novel, screens out the recommended audio of the dialog novel content through quality evaluation, displays a playing inlet for playing the recommended video of the dialog novel content in the dialog box to show that the dialog novel content has high-quality audio, and realizes the effect of recommending the high-quality audio of the dialog novel to a user in the reading process.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an audio recommendation method, computing equipment and a computer storage medium for a dialog novel.
Background
A dialog novel is a type of novel written in the form of a character dialog in a basic structural manner and presentation by narrating events, developing plots, environments of interaction and depicting character characters in the dialog between characters of a work. The novel structure is suitable for reading at fragmentization time, so that the novel structure is favored by partial users. With the wide application of the talking reading function, the user also has the requirement of listening to the book when reading the dialog novel, but at present, the realization mode of the book listening function aiming at the dialog novel is lacked.
Disclosure of Invention
In view of the above, the present invention has been developed to provide an audio recommendation method, a computing device and a computer storage medium for a dialog novel that overcome or at least partially address the above-mentioned problems.
According to an aspect of the present invention, there is provided an audio recommendation method for a dialog novel, including:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
According to yet another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
According to yet another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
According to the audio recommendation method, the computing equipment and the computer storage medium of the dialog novel, at least one audio to be recommended and evaluation data of each audio to be recommended aiming at any dialog novel content in the dialog novel are obtained; according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended; and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box. Through the method, the recommended audio of the dialog novel content is screened out according to the quality evaluation data, and the playing inlet of the recommended video for playing the dialog novel content to be displayed is displayed in the dialog box at the same time, so that the dialog novel content is indicated to have high-quality audio, and the effect of recommending the high-quality audio related to the dialog novel content to the user in the reading process is achieved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart illustrating an audio recommendation method for dialog novel provided by an embodiment of the present invention;
FIG. 2 is a flow chart illustrating an audio recommendation method for dialog novel according to another embodiment of the present invention;
FIG. 3 is a diagram illustrating a dialog box for a dialog novel in an embodiment of the invention;
FIG. 4 is a diagram illustrating a dialog box for dialog novel content in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a flowchart of an audio recommendation method for a dialog novel provided by an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step S110, at least one audio to be recommended and evaluation data of each audio to be recommended are obtained for any dialog novel content in the dialog novel.
The audio to be recommended for any dialog novel content may be provided by the user, for example, dubbing audio uploaded by the user through a dubbing interface, or may be provided by a dialog novel manufacturer.
The evaluation data of the audio to be recommended is used for evaluating the quality of the audio to be recommended, and may include evaluation data capable of directly reflecting the quality of the audio to be recommended, or may include evaluation data capable of indirectly reflecting the quality of the audio to be recommended.
And step S120, according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended.
For example, the quality scores of the audios to be recommended are calculated according to the evaluation data of the audios to be recommended, and then the recommended audios of the dialog novel content are selected according to the quality scores of the audios to be recommended.
Step S130, receiving a content display instruction for displaying the dialog novel content, and displaying a play entry for playing a recommended audio of the dialog novel content to be displayed in the dialog box.
The dialog novel comprises a plurality of dialog novel contents, and the dialog novel contents are displayed according to the display sequence. And if so, displaying a playing entrance for playing the recommended video in the dialog box, and triggering an instruction for playing the recommended audio through the playing entrance. Conversely, if the dialog novel content to be presented does not have a recommended video, only the dialog novel content to be presented is presented in the dialog box. By presenting a play entry for playing the recommended video in the dialog box to indicate that the dialog novel content at the corresponding position has high-quality audio, the effect of recommending the high-quality audio of the dialog novel to the user is achieved.
According to the audio recommendation method of the dialog novel of the embodiment, at least one audio to be recommended aiming at any dialog novel content in the dialog novel and evaluation data used for evaluating the quality of the audio to be recommended are obtained; according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended; and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box. The method realizes the listening function of the dialog novel, screens out the recommended audio of the dialog novel content according to the quality evaluation data, shows the corresponding recommended video playing entry in the dialog box to show that the dialog novel content at the corresponding position has high-quality audio, and realizes the effect of recommending the high-quality audio related to the dialog novel content to the user in the reading process.
Fig. 2 is a flowchart illustrating an audio recommendation method for a dialog novel according to another embodiment of the present invention, which includes the following steps, as shown in fig. 2:
step S210, in response to the dubbing triggering operation of the user for any content of the dialog novels in the dialog novels, triggering the recording module to collect dubbing audio, and determining the dubbing audio as the audio to be recommended.
The mode of the embodiment supports the user to dub the content of the dialog novel, and provides a re-creation approach of the content of the dialog novel for the user. For example, the user clicks a dubbing function button corresponding to the dialog novel content, and triggers the recording module to collect audio, so that the dubbing audio of the dialog novel content is obtained and serves as the audio to be recommended.
Besides the above-mentioned user dubbing audio, the audio to be recommended corresponding to the dialog novel content may also include audio provided by a dialog novel manufacturer, or public audio resources, etc.
Step S220, obtaining the evaluation data of each audio to be recommended.
The evaluation data of the audio to be recommended is used for evaluating the quality of the audio to be recommended and comprises evaluation data directly reflecting the quality of the audio to be recommended and evaluation data indirectly reflecting the quality of the audio to be recommended.
The evaluation data directly reflecting the audio quality to be recommended, namely the evaluation data of the audio quality dimension, comprises the tone matching degree of the audio and the content of the dialog novel and the matching degree of the tone color of the audio and the tone color of the novel character of the content of the dialog novel.
The tone matching degree is determined as follows: aiming at any audio to be recommended of the dialog novel content, the audio to be recommended is identified, and the intonation matching degree of the audio to be recommended and the dialog novel content is determined, wherein the intonation matching degree refers to the matching degree between the pronunciation of a user and the standard pronunciation of a character, for example, the standard pronunciation of the character to be recommended is four sounds, if the pronunciation of the user is four sounds, the intonation matching degree is the highest, and if the pronunciation of the user is one sound, the intonation matching degree is lower. And comparing the pronunciation of each character in the audio to be recommended with the standard pronunciation of each character in the content of the dialog novel to obtain the intonation matching degree, wherein the higher the intonation matching degree is, the higher the quality of the audio to be recommended is.
The degree of matching of the audio timbre with the novel character timbre of the dialog content is determined as follows: and identifying the tone of the audio to be recommended, and determining the matching degree of the tone of the audio to be recommended and the tone of the novel character of the dialogue novel content. The novel dialect comprises descriptions of dialect characters, such as the relevant descriptions of age, sound, identity and the like, the tone characteristics of the character sound can be deduced through the descriptions, the tone characteristics of the dialect characters corresponding to each dialect content can be further determined, the tone characteristics of the audio to be recommended are identified, the tone characteristics of the audio to be recommended are compared with the tone characteristics of the dialect characters to determine the tone matching degree, and the higher the tone matching degree is, the higher the quality of the audio to be recommended is.
The evaluation data indirectly reflecting the quality of the audio to be recommended refers to feedback related data of all users on the audio to be recommended, and the better the feedback of the users on the audio to be recommended is, the higher the quality of the audio to be recommended is. Specifically, the evaluation data indirectly reflecting the quality of the audio to be recommended includes evaluation data of user recommendation dimensions and evaluation data of playing condition dimensions, the evaluation data of the user recommendation dimensions specifically includes user praise number, user comment number, user sharing number and user collection amount, and if the number of praise of the audio to be recommended is larger, the comment number is larger, the number of shared times is larger, the number of collected times by the user is larger, and it is indicated that the user acceptance of the audio to be recommended is high, the audio to be recommended is considered to have higher quality. The evaluation data of the play situation dimension specifically includes: the playback volume data and/or the playback progress data, where the playback volume refers to the total number of times the audio is played, and the playback progress may refer to the proportion of the duration of the played audio at each playback, and if the playback volume is higher or the proportion of the duration of the played audio at each playback is higher, it indicates that the user acceptance of the audio is higher, the audio to be recommended is considered to have higher quality.
In practical application, the situation of cheating on the playing amount of the audio frequency can also occur, for example, the same user account logs in a plurality of terminals at the same time, a plurality of playing records are generated on the same audio frequency by the same user account within a short time, and the playing amount needs to be corrected. Specifically, the playing amount data of the audio to be recommended is corrected according to the user account information corresponding to each playing record of the audio to be recommended. For example, at least two play records corresponding to the user account information are corrected to one play amount. The accuracy of the audio playing amount is improved by correcting the playing amount, so that the high-quality recommended video can be accurately positioned.
Step S230, calculating the quality score of each audio to be recommended according to the evaluation data of each audio to be recommended, and screening the recommended audio of the content of the dialog novel from at least one audio to be recommended according to the quality score.
And after the evaluation data of each dimensionality of the audio to be recommended is obtained, calculating according to a preset algorithm to obtain the quality score of the audio to be recommended. Optionally, for each evaluation dimension, a dimension quality score is calculated according to the evaluation data of the evaluation dimension, and then a quality score of the audio to be recommended is calculated according to the dimension quality scores of the evaluation dimensions.
And then, filtering out the recommended audio of the dialect content according to the quality score. Optionally, the audio to be recommended with the highest quality score is screened out as the recommended audio of the dialog novel content, or the audio to be recommended with the quality score exceeding a preset value is screened out as the recommended audio of the dialog novel content.
Step S240, receiving a content display instruction for displaying the dialog novel content, and displaying the dialog novel content to be displayed and a play entry for playing a recommended audio of the dialog novel content to be displayed in a dialog box.
Under different reading modes, the display mode of the content of the dialog novel is different. In the automatic reading mode, automatically displaying the content of the next dialog novel at intervals of a certain time, and automatically triggering a content display instruction for displaying the content of the dialog novel by the system on time; and under the click reading mode, displaying the content of the next dialog novel every time the user touches the screen, and triggering a content display instruction for displaying the content of the dialog novel according to the touch operation of the user. In the automatic reading mode and the click reading mode, the dialog novel content to be displayed is the next dialog novel content of the dialog novel content which is displayed recently. In the sliding reading mode, the dialog novel content to be displayed is each dialog novel content behind the dialog novel content which is recently displayed, and the user needs to perform the sliding operation to display the subsequent dialog novel content due to the limited screen area.
In this embodiment, after receiving the content display instruction for displaying the dialog novel content, if the dialog novel content to be displayed has the high-quality recommended audio, the dialog novel content to be displayed and the play entry for the high-quality recommended audio corresponding to the dialog novel content are displayed in the dialog box together. Referring to fig. 3, fig. 3 is a schematic diagram illustrating a dialog box of a dialog novel in an embodiment of the present invention, where a speaker icon in fig. 3 corresponds to a play entry for playing recommended audio, and a user knows that the dialog novel content has high-quality recommended audio when seeing the icon, and can play the recommended audio by clicking the icon, so as to achieve an effect of recommending high-quality audio.
In an alternative way, if the dialog novel content has high-quality recommended audio, the related information of the recommended audio and the playing entry for playing the recommended audio are displayed in the dialog box, so that the recommended audio is displayed in the dialog box instead of the corresponding dialog novel content, that is, the text of the dialog novel content is not displayed, but the corresponding recommended audio information and the playing entry are displayed. Wherein, the information related to the recommended audio may refer to: duration of recommended audio, quality score, uploaded user information, number of praise, number of comments, amount of collection, and the like. Referring to fig. 4, fig. 4 is a schematic diagram of a dialog box of dialog novel content in an embodiment of the present invention, when the dialog novel content of a dialog character "sister" is displayed, it is determined that the dialog novel content has high-quality recommended audio, the duration of the high-quality recommended audio and a play entry for playing the high-quality audio are directly displayed, and when a user sees the icon, the user knows that the dialog of "sister" has high-quality audio and the duration is 5 seconds, and can play the recommended audio by clicking the icon, so as to achieve an effect of recommending the high-quality audio, and render the dialog novel content into a representation of the recommended audio, on the basis of which a pure book listening function without text participation can be implemented.
And step S250, responding to the trigger operation of the user to the playing entrance, and playing the recommended audio.
If the screened dialog novel content has at least two recommended audios, the at least two recommended audios are played in sequence according to the high-low sequence of the quality score, or the related information of the at least two recommended audios is displayed to prompt the user to select the target recommended audio, such as uploading user information, praise number, comment number, collection amount and the like of the recommended audio, and then the target recommended audio is determined to be played according to the selection operation of the user.
In order to encourage the user to re-create the dialog novel, the user creating the audio is rewarded according to the quality of the recommended audio, and particularly, reward information is distributed to the account of the user providing the audio to be recommended according to the evaluation data of the audio to be recommended. Similarly, a quality score is calculated according to the evaluation data of the audio to be recommended, and reward information is allocated to the account of the user providing the audio to be recommended according to the quality score.
According to the audio recommendation method for the dialog novel provided by the embodiment, on one hand, a user can be supported to dub the dialog novel content, a re-creation approach of the dialog novel is provided, and the functions of a dialog novel platform are enriched; on the other hand, the quality of the audio to be recommended is evaluated by combining the evaluation data of the quality dimension of the audio to be recommended, the evaluation data of the user recommendation dimension and the evaluation data of the playing condition dimension, the high-quality audio is screened from the multiple audio to be recommended for recommendation, and the accuracy and the reasonability of the screened recommended audio can be ensured; on the other hand, the dialog novel content to be displayed and the playing entrance for the high-quality recommended audio corresponding to the dialog novel content are displayed in the dialog box together to show that the dialog novel content has the high-quality audio, so that the effect of recommending the high-quality audio related to the dialog novel content to the user in the reading process is realized; on the other hand, the information of the high-quality recommended audio of the dialog novel content and the playing entrance for playing the audio are displayed in the dialog box, so that the recommended audio is completely displayed in the dialog box instead of the corresponding dialog novel content, and the automatic conversion from the dialog novel text to the audio is realized; on the other hand, the playing amount of the audio is corrected according to the user account number associated with the playing record, so that the problem of cheating of the playing amount can be avoided, and the accuracy of screening high-quality recommended audio can be improved; in another aspect, a user providing the audio to be recommended is rewarded according to the evaluation data for evaluating the quality of the audio to be recommended, so that the user is encouraged to re-author the dialog novel, the dialog novel platform function is enriched, and the dialog novel platform is helpful for absorbing more users.
Embodiments of the present invention provide a non-volatile computer storage medium, where at least one executable instruction is stored in the computer storage medium, and the computer executable instruction may execute the audio recommendation method for a dialog novel in any of the above method embodiments.
The executable instructions may be specifically configured to cause the processor to:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
In an alternative, the executable instructions cause the processor to:
and displaying the dialog novel content to be displayed and a playing inlet of recommended audio for playing the dialog novel content to be displayed in the dialog box.
In an alternative, the executable instructions cause the processor to:
and displaying the related information of the recommended audio of the dialog novel content to be displayed and a playing inlet for playing the recommended audio of the dialog novel content to be displayed in the dialog box.
In an alternative, the executable instructions cause the processor to:
and triggering the recording module to acquire dubbing audio in response to the dubbing triggering operation of the user on any one of the dialog novel contents.
In an alternative, the assessment data comprises assessment data of an audio quality dimension, the executable instructions causing the processor to:
and aiming at any audio to be recommended of the dialog novel content, identifying the audio to be recommended, determining the intonation matching degree of the audio to be recommended and the dialog novel content, and/or determining the matching degree of the tone of the audio to be recommended and the tone of the novel character of the dialog novel content, and obtaining the evaluation data of the audio quality dimension.
In an alternative, the evaluation data further includes evaluation data of a user recommendation dimension and/or evaluation data of a play situation dimension.
In an alternative approach, the evaluation data of the user recommendation dimension includes at least one of: the user collection amount is the user collection amount; the evaluation data of the play case dimension includes: playback volume data and/or playback progress data.
In an alternative, the executable instructions cause the processor to:
and correcting the playing amount data of the audio to be recommended according to the user account information corresponding to each playing record of the audio to be recommended.
In an alternative, the executable instructions cause the processor to:
and distributing reward information to the account of the user providing the audio to be recommended according to the evaluation data of the audio to be recommended.
Through the method, the recommended audio of the dialog novel content is screened out according to the quality evaluation data, and the dialog novel content and the playing entrance for playing the corresponding recommended video are displayed in the dialog box at the same time, so that the dialog novel content is indicated to have high-quality audio, and the effect of recommending the high-quality audio related to the dialog novel content to the user in the reading process is achieved.
Fig. 5 is a schematic structural diagram of an embodiment of a computing device according to the present invention, and a specific embodiment of the present invention does not limit a specific implementation of the computing device.
As shown in fig. 5, the computing device may include: a processor (processor)502, a Communications Interface 504, a memory 506, and a communication bus 508.
Wherein: the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508. A communication interface 504 for communicating with network elements of other devices, such as clients or other servers. The processor 502, configured to execute the program 510, may specifically perform relevant steps in the above-described embodiment of the audio recommendation method for a dialog novel of a computing device.
In particular, program 510 may include program code that includes computer operating instructions.
The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 506 for storing a program 510. The memory 506 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may specifically be used to cause the processor 502 to perform the following operations:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, wherein a play inlet for playing the recommended audio of the dialog novel content to be displayed is displayed in the dialog box.
In an alternative, the program 510 causes the processor 502 to:
and displaying the dialog novel content to be displayed and a playing inlet of recommended audio for playing the dialog novel content to be displayed in the dialog box.
In an alternative, the program 510 causes the processor 502 to:
and displaying the related information of the recommended audio of the dialog novel content to be displayed and a playing inlet for playing the recommended audio of the dialog novel content to be displayed in the dialog box.
In an alternative, the program 510 causes the processor 502 to:
and triggering the recording module to acquire dubbing audio in response to the dubbing triggering operation of the user on any one of the dialog novel contents.
In an alternative approach, the assessment data comprises assessment data for an audio quality dimension, and the program 510 causes the processor 502 to:
and aiming at any audio to be recommended of the dialog novel content, identifying the audio to be recommended, determining the intonation matching degree of the audio to be recommended and the dialog novel content, and/or determining the matching degree of the tone of the audio to be recommended and the tone of the novel character of the dialog novel content, and obtaining the evaluation data of the audio quality dimension.
In an alternative, the evaluation data further includes evaluation data of a user recommendation dimension and/or evaluation data of a play situation dimension.
In an alternative approach, the evaluation data of the user recommendation dimension includes at least one of: the user collection amount is the user collection amount;
the evaluation data of the play case dimension includes: playback volume data and/or playback progress data.
In an alternative, the program 510 causes the processor 502 to:
and correcting the playing amount data of the audio to be recommended according to the user account information corresponding to each playing record of the audio to be recommended.
In an alternative, the program 510 causes the processor 502 to:
and distributing reward information to the account of the user providing the audio to be recommended according to the evaluation data of the audio to be recommended.
Through the method, the recommended audio of the dialog novel content is screened out according to the quality evaluation data, and the dialog novel content and the playing entrance for playing the corresponding recommended video are displayed in the dialog box at the same time, so that the dialog novel content is indicated to have high-quality audio, and the effect of recommending the high-quality audio related to the dialog novel content to the user in the reading process is achieved.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
The invention discloses: A1. an audio recommendation method for a dialog novel, comprising:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from the at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
A2. The method of a1, wherein the showing a play entry in a dialog box for playing recommended audio of dialog novel content to be shown further comprises:
the dialog novel content to be shown and a play entry for playing recommended audio of the dialog novel content to be shown are shown in a dialog box.
A3. The method of a1, wherein the showing a play entry in a dialog box for playing recommended audio of dialog novel content to be shown further comprises:
and displaying relevant information of the recommended audio of the dialog novel content to be displayed and a playing inlet for playing the recommended audio of the dialog novel content to be displayed in a dialog box.
A4. The method of any of a1-A3, wherein the obtaining at least one audio to be recommended for any of the dialog novel content further comprises:
and triggering the recording module to acquire dubbing audio in response to the dubbing triggering operation of the user on any one of the dialog novel contents.
A5. The method of any of a1-a4, wherein the assessment data comprises assessment data of an audio quality dimension, the method further comprising:
and aiming at any audio to be recommended of the dialog novel content, identifying the audio to be recommended, determining the intonation matching degree of the audio to be recommended and the dialog novel content, and/or determining the matching degree of the tone of the audio to be recommended and the tone of the novel character of the dialog novel content, and obtaining the evaluation data of the audio quality dimension.
A6. The method of any of a1-a5, wherein the ratings data further includes ratings data for a user recommendation dimension and/or ratings data for a playsituation dimension.
A7. The method of a6, wherein the evaluation data of the user recommendation dimension includes at least one of: the user collection amount is the user collection amount;
the evaluation data of the play situation dimension comprises: playback volume data and/or playback progress data.
A8. The method of a7, wherein the method further comprises:
and correcting the playing amount data of the audio to be recommended according to the user account information corresponding to each playing record of the audio to be recommended.
A9. The method of any one of a1-A8, wherein the method further comprises:
and distributing reward information to the account of the user providing the audio to be recommended according to the evaluation data of the audio to be recommended.
B10. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from the at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
B11. The computing device of B10, wherein the executable instructions further cause the processor to:
the dialog novel content to be shown and a play entry for playing recommended audio of the dialog novel content to be shown are shown in a dialog box.
B12. The computing device of B10, wherein the executable instructions further cause the processor to:
and displaying relevant information of the recommended audio of the dialog novel content to be displayed and a playing inlet for playing the recommended audio of the dialog novel content to be displayed in a dialog box.
B13. The computing device of any one of B10-B12, the executable instructions further cause the processor to:
and triggering the recording module to acquire dubbing audio in response to the dubbing triggering operation of the user on any one of the dialog novel contents.
B14. The computing device of any of B10-B13, wherein the assessment data includes assessment data for an audio quality dimension, the executable instructions further cause the processor to:
and aiming at any audio to be recommended of the dialog novel content, identifying the audio to be recommended, determining the intonation matching degree of the audio to be recommended and the dialog novel content, and/or determining the matching degree of the tone of the audio to be recommended and the tone of the novel character of the dialog novel content, and obtaining the evaluation data of the audio quality dimension.
B15. The computing device of any of B10-B14, wherein the assessment data further includes assessment data for a user recommendation dimension and/or assessment data for a playsituation dimension.
B16. The computing device of B15, wherein the evaluation data for the user-recommended dimension includes at least one of: the user collection amount is the user collection amount;
the evaluation data of the play situation dimension comprises: playback volume data and/or playback progress data.
B17. The computing device of B16, the executable instructions further cause the processor to:
and correcting the playing amount data of the audio to be recommended according to the user account information corresponding to each playing record of the audio to be recommended.
B18. The computing device of any one of B10-B17, the executable instructions further cause the processor to:
and distributing reward information to the account of the user providing the audio to be recommended according to the evaluation data of the audio to be recommended.
C19. A computer storage medium having stored therein at least one executable instruction that causes a processor to perform operations corresponding to the audio recommendation method for a dialog novel as described in any of a1-a 9.
Claims (10)
1. An audio recommendation method for a dialog novel, comprising:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from the at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
2. The method of claim 1, wherein the presenting a play entry in a dialog box for playing recommended audio for dialog novel content to be presented further comprises:
the dialog novel content to be shown and a play entry for playing recommended audio of the dialog novel content to be shown are shown in a dialog box.
3. The method of claim 1, wherein the presenting a play entry in a dialog box for playing recommended audio for dialog novel content to be presented further comprises:
and displaying relevant information of the recommended audio of the dialog novel content to be displayed and a playing inlet for playing the recommended audio of the dialog novel content to be displayed in a dialog box.
4. The method of any of claims 1-3, wherein the obtaining at least one audio to be recommended for any of the dialog novel content further comprises:
and triggering the recording module to acquire dubbing audio in response to the dubbing triggering operation of the user on any one of the dialog novel contents.
5. The method of any of claims 1-4, wherein the assessment data comprises assessment data of an audio quality dimension, the method further comprising:
and aiming at any audio to be recommended of the dialog novel content, identifying the audio to be recommended, determining the intonation matching degree of the audio to be recommended and the dialog novel content, and/or determining the matching degree of the tone of the audio to be recommended and the tone of the novel character of the dialog novel content, and obtaining the evaluation data of the audio quality dimension.
6. The method according to any of claims 1-5, wherein the evaluation data further comprises evaluation data of a user recommendation dimension and/or evaluation data of a play situation dimension.
7. The method of claim 6, wherein the evaluation data of the user recommendation dimension comprises at least one of: the user collection amount is the user collection amount;
the evaluation data of the play situation dimension comprises: playback volume data and/or playback progress data.
8. The method of claim 7, wherein the method further comprises:
and correcting the playing amount data of the audio to be recommended according to the user account information corresponding to each playing record of the audio to be recommended.
9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to:
acquiring at least one audio to be recommended and evaluation data of each audio to be recommended, which are specific to any one of the dialog novel contents;
according to the evaluation data of each audio to be recommended, screening out the recommended audio of the dialog novel content from the at least one audio to be recommended;
and receiving a content display instruction for displaying the dialog novel content, and displaying a play inlet for playing recommended audio of the dialog novel content to be displayed in the dialog box.
10. A computer storage medium having stored therein at least one executable instruction that causes a processor to perform operations corresponding to the method of audio recommendation of a dialog novel according to any one of claims 1-8.
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