CN107995360B - Call processing method and related product - Google Patents

Call processing method and related product Download PDF

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Publication number
CN107995360B
CN107995360B CN201711209712.4A CN201711209712A CN107995360B CN 107995360 B CN107995360 B CN 107995360B CN 201711209712 A CN201711209712 A CN 201711209712A CN 107995360 B CN107995360 B CN 107995360B
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China
Prior art keywords
information
voice
pieces
volume reduction
volume
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CN201711209712.4A
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CN107995360A (en
Inventor
杨宗业
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/16Sound input; Sound output
    • G06F3/165Management of the audio stream, e.g. setting of volume, audio stream path
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/26Speech to text systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/60Substation equipment, e.g. for use by subscribers including speech amplifiers

Abstract

The embodiment of the application discloses a call processing method and a related product, wherein the method comprises the following steps: collecting sound in the vehicle to obtain voice information; carrying out voice recognition on the voice information to obtain P pieces of voice fragment information; searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information; and generating a volume reduction instruction according to the Q pieces of target voice information. By adopting the method and the device, the call quality can be improved.

Description

Call processing method and related product
Technical Field
The application relates to the technical field of electronic equipment, and mainly relates to a call processing method and a related product.
Background
At present, in the normal driving process of an automobile, people often play music or videos through vehicle-mounted equipment and use a loudspeaker for public playing. In this case, when telephone communication or chatting is performed in the car, it is necessary to manually turn down the playback volume of the speaker or turn off the playback in order to improve the communication quality, which results in insufficient convenience of operation. And the attention of the driver is dispersed to a certain extent, and the potential safety hazard is increased.
Disclosure of Invention
The embodiment of the application provides a call processing method and a related product, which can improve the call quality.
In a first aspect, an embodiment of the present application provides a call processing method, including:
collecting sound in the vehicle to obtain voice information;
performing voice recognition on the voice information to obtain P pieces of voice fragment information, wherein P is a positive integer;
searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P;
and generating a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume.
In a second aspect, an embodiment of the present application provides an electronic device, including a processor, and a voice pickup module connected to the processor, wherein:
the voice pickup module is used for collecting the sound in the vehicle to obtain voice information;
the processor is used for carrying out voice recognition on the voice information to obtain P pieces of voice fragment information, wherein P is a positive integer; searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P; and generating a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume.
In a third aspect, an embodiment of the present application provides a call processing apparatus, including:
the acquisition unit is used for acquiring sound in the vehicle to obtain voice information;
the recognition unit is used for carrying out voice recognition on the voice information to obtain P pieces of voice fragment information, and P is a positive integer;
the searching unit is used for searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P;
and the processing unit is used for generating a volume reduction instruction according to the Q pieces of target voice information, and the volume reduction instruction is used for indicating a loudspeaker to reduce the playing volume.
In a fourth aspect, an embodiment of the present application provides another call processing method, which is applied to an electronic device including a processor and a voice pickup module connected to the processor, where:
the voice pickup module collects sound in the vehicle to obtain voice information;
the processor performs voice recognition on the voice information to obtain P pieces of voice fragment information, wherein P is a positive integer;
the processor searches for target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P;
and the processor generates a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume.
In a fifth aspect, an embodiment of the present application provides another electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for some or all of the steps described in the first aspect.
In a sixth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, where the computer program makes a computer perform some or all of the steps as described in the first aspect of the present application.
In a seventh aspect, this application embodiment provides a computer program product, where the computer program product comprises a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the steps as described in the first aspect of this application embodiment. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
after the call processing method and the related products are adopted, sound in the vehicle is collected to obtain voice information, the voice information is subjected to voice recognition to obtain P voice fragment information, target voice information with the P voice fragment information matched with at least one key information in a preset voice set is searched to obtain Q target voice information, and then a volume reduction instruction is generated according to the Q target voice information, namely, a loudspeaker in the vehicle can generate the volume reduction instruction according to the voice information to adjust the playing volume, so that the call quality is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
fig. 1 is a schematic flowchart of a call processing method according to an embodiment of the present application;
fig. 2A is a schematic structural diagram of a call processing apparatus according to an embodiment of the present application;
fig. 2B is a schematic structural diagram of a processing unit according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart of another call processing method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The Mobile terminal according to the embodiments of the present application may include various handheld devices, wearable devices, computing devices or other processing devices connected to a wireless modem, which have wireless communication functions, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as a mobile terminal.
The vehicle-mounted device can be connected with the mobile terminal in the vehicle through Bluetooth or other connection modes, a call function can be achieved through the vehicle-mounted device, if the mobile terminal connected with the vehicle-mounted device calls, and when the speaker in the vehicle plays, the vehicle-mounted device can control the playing volume of the speaker in the vehicle. If the mobile terminal which is not connected with the vehicle-mounted equipment carries out a call and a loudspeaker of the vehicle-mounted equipment plays music, the call of the mobile terminal is influenced.
The embodiment of the application provides a call processing method and a related product, which can improve the call quality. The electronic equipment executing the application can be vehicle-mounted equipment, and a volume reduction instruction is generated when voice information obtained by monitoring sound in a vehicle by the vehicle-mounted equipment meets a preset condition and is used for reducing the playing volume of a loudspeaker; the electronic device executing the application can also be a mobile terminal connected with the vehicle-mounted device, a volume reduction instruction is generated when voice information obtained by monitoring sound in the vehicle by the mobile terminal meets a preset condition, the volume reduction instruction is sent to the vehicle-mounted device, and then the vehicle-mounted device reduces the playing volume of the loudspeaker according to the volume reduction instruction. The voice information may be a voice collected by a call with a mobile terminal connected to the in-vehicle device, or a voice collected by a call without a mobile terminal connected thereto. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart illustrating a call processing method according to an embodiment of the present disclosure.
As shown in fig. 1, includes:
101: and acquiring sound in the vehicle to obtain voice information.
The method is not limited to the collection mode of the sound, and the sound can be collected through a microphone on the electronic equipment, or through a microphone on an earphone externally connected with the electronic equipment or other voice pickup modules. When the loudspeaker is turned on, the vehicle-mounted equipment collects sound in the vehicle, converts the sound into an electric signal and converts the electric signal into voice information corresponding to the digital signal.
The voice information may be the sound of a call scene (including a video call, a voice call, etc.) or the sound of a general conversation scene, or the sound played by a speaker, or other noises, etc.
Optionally, the collecting the sound in the vehicle to obtain the voice information includes: and collecting the sound in the vehicle, and preprocessing the sound in the vehicle to obtain the voice information.
The preprocessing may be a denoising processing, an amplifying processing, a normalizing processing, or the like, and is not limited herein. The denoising processing refers to filtering, noise filtering and the like of played sound of a loudspeaker in the vehicle, amplification processing or normalization processing is convenient for improving the recognition rate of the voice information, and the voice in the vehicle is preprocessed to improve the recognition rate of the voice information.
102: and carrying out voice recognition on the voice information to obtain P pieces of voice fragment information.
Speech recognition technology is the conversion of lexical content in human speech into computer readable input, such as keystrokes, binary codes or character sequences. The voiceprint recognition technology is to convert the acoustic signal into an electric signal and then to recognize the signal by a computer.
The mobile terminal can perform voice recognition on voice information through a voice recognition technology and a voiceprint recognition technology to obtain P pieces of voice fragment information, wherein P is a positive integer.
In the embodiment of the present application, each piece of voice segment information in the P pieces of voice segment information may include multiple pieces of dimensional information, such as text information, time information, direction information, sound feature information, and emotion feature information.
The text information is a text recognized or converted from the voice segment information, for example: busy tone, waiting tone, hang-up tone, color ring and so on corresponding to the ring back tone, or translate dialect or other language in the voice fragment information into standard language; the time information is the time record of the voice segment information and can comprise a start time, an end time or a time sequence in the voice information; the direction information is the specific direction generated in the car by the voice fragment information; the sound characteristic information includes tone, timbre, loudness, and the like; and acquiring emotion characteristic information according to the text information and/or the sound characteristic information, wherein the emotion characteristic information is used for representing emotion characteristics in the voice information of the voice fragment information.
103: and searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information.
Q is a positive integer less than or equal to P, and the preset voice set comprises a plurality of key information. If Q pieces of target voice information matched with the key information in the preset voice set exist in the P pieces of voice clip information, the voice information collected in the vehicle is considered to meet the condition of adjusting the playing volume of a loudspeaker on the vehicle-mounted equipment.
The key information may be common words or sentences in the call scenario, for example: voice information such as "feed", "you are", "goodbye", "worship", "trouble please XXX to receive a call", etc. matched with a call, a user's conversation in mouth, a commonly used color ring, a ring back tone, a ring tone of a video call, and also voice information for controlling sound, for example: the words for directly controlling sound, such as "turn off music", "reduce volume", "loud sound", etc., the words for indirectly controlling sound, such as "not heard, loud sound", "not good signal", "what you just said, not heard", etc., are not limited herein.
Optionally, the preset voice set corresponding to the voice information is obtained according to a pre-recorded voice file and a historical call record.
The pre-recorded sound file can be a specially-recorded sound template file, can also be a sound template file related to sound lock in other applications, and can also be a sound file obtained by performing multiple voice recognition training on both parties of a call according to a historical call record.
Every people all has the word of mouth Buddhist of oneself, and everyone's sound has unique degree of discernment, then the speech information that different conversation both sides were said and are conversed is inconsistent, if carry out speech recognition to speech information according to the sound file and the historical conversation record of typing in advance, the conversation scene that the preset speech collection that obtains is more close to user's custom and accords with can improve the speech information's under the conversation scene recognition efficiency to the rate of accuracy of conversation processing has been improved.
Optionally, a call scene is determined according to the P pieces of voice fragment information, and the preset voice set corresponding to the call scene is obtained.
Each call scenario may use different key information, and if the call object is a elder or a leader, the key information of another call object may include a toast, for example: "you", "please", etc.; if the call object is a customer service telephone, the key information of the call object may be a telephone recording; if the call object is a harassing call, the key information may relate to the contents of account transfer, questionnaire, and the like. If the call scene is determined according to the P pieces of voice fragment information, and the preset voice set is selected according to the call scene, the recognition efficiency of the voice information under different call scenes can be improved, and therefore the searching efficiency of the target voice information and the accuracy of call processing are improved.
The method for acquiring the preset voice set is not limited, one of the two methods can be adopted, the two methods can also be combined, a call voice set obtained by training a certain neural network can be acquired, and when key information for identifying a call scene or controlling volume changes, the preset voice set is updated, so that the accuracy of recognizing target voice information is improved.
104: and generating a volume reduction instruction according to the Q pieces of target voice information.
The volume reduction instruction is used for instructing the loudspeaker to reduce the playing volume. If the electronic equipment executing the embodiment of the application is the vehicle-mounted equipment, if a volume reduction instruction is generated, reducing the playing volume of a loudspeaker on the vehicle-mounted equipment according to the volume reduction instruction; if the electronic device executing the embodiment of the application is a mobile terminal bound with the vehicle-mounted device, after the volume reduction instruction is generated, the volume reduction instruction is sent to the vehicle-mounted device, and the vehicle-mounted device reduces the playing volume of the loudspeaker according to the volume reduction instruction.
The method for generating the volume reduction instruction according to the Q pieces of target voice information is not limited in the present application, and the reduced volume amplitude or the final volume may be determined according to the number of the target voice information. For example: when the number of the target voice information is 1, reducing by 2 decibels, and reducing by 5 decibels when one target voice information is added until the target voice information is reduced to 0 decibel; the reduced volume amplitude or the final volume can also be determined according to the call process or the call scene to which the Q pieces of target voice information belong, and the reduced volume amplitude or the final volume and the like can also be determined according to the volume amplitude, the emotion characteristic information and the direction information contained in the Q pieces of target voice information.
Optionally, the generating a volume reduction instruction according to the Q pieces of target voice information includes: acquiring a call process and/or a call scene corresponding to the Q pieces of target voice information; and generating the volume reduction instruction according to the call process and/or the call scene.
The communication process can be divided into an incoming call phase and a communication phase, wherein the communication phase is divided into a cold talk phase, a hot talk phase, a tail sound phase and the like according to communication contents. The accuracy of the volume reduction instruction is improved by setting the volume reduction instruction corresponding to different conversation processes.
For example, the volume reduction instruction in the incoming call stage is to reduce the playing volume, the volume reduction instruction in the cold and fast stage is to further reduce the playing volume, the volume reduction instruction in the hot chat stage is to close the playing volume, and the volume reduction instruction in the tail sound stage is to wait for a preset time length to recover the playing volume, so that the situation that the communication is influenced by overlong tail sound stage before the hang-up or reentering the hot chat stage is avoided.
The method and the device have the advantages that the obtaining of the call process is not limited, and the call process can be obtained according to a plurality of influence factors such as character information, time information, sound characteristic information and emotion characteristic information related to the call process, namely the accuracy of determining the call process is improved by obtaining the call process corresponding to each dimension.
Wherein, the call scenario may include a work call, a life call, and the like, for example: the playing volume of the loudspeaker can be reduced for some non-important call scenes, and the playing volume of the call scenes of the important scenes needs to be closed in the shortest time or the playing needs to be paused. The accuracy of the volume reduction instruction is improved by setting the volume reduction instruction corresponding to different call scenes.
The method for generating the volume reduction instruction according to the call process and the call scene is not limited, and the maximum volume amplitude can be selected, the average value of the volume amplitudes can be taken, and the final volume amplitude obtained by performing weighting calculation on different weights and the corresponding volume amplitudes can be taken. The playing volume of the proper loudspeaker is determined by combining the call process and the call scene, so that the accuracy of the volume reduction instruction is improved, and the call quality is improved.
Optionally, the generating a volume reduction instruction according to the Q pieces of target voice information includes: obtaining a volume reduction value corresponding to each target voice message in the Q target voice messages according to each dimension message in the dimension messages and a preset weight corresponding to each dimension message to obtain a plurality of volume reduction values; and generating the volume reduction instruction according to the volume reduction values.
If the voice segment information includes multiple dimension information such as text information, time information, direction information, voice feature information, emotion feature information, and the like, the target voice information includes the multiple dimension information. That is to say, it is determined that the text information includes key information of volume or a call scene, a call stage corresponding to the voice clip information, position information of a sound, and the like to obtain a plurality of volume reduction values, and then a volume reduction instruction is generated according to the plurality of volume reduction values, so that various volume parameters can be adjusted, for example: volume, volume playing mode, parameters of left and right sound channels, and the like, the listening effect is further improved, and the call quality is improved.
The method of how to generate the volume-down command according to the plurality of volume-down values is not limited in the present application, and the maximum value, the average value, the standard deviation, the variance, the covariance, or the like among the plurality of volume-down values may be obtained.
Optionally, the generating the volume reduction instruction according to the volume reduction values includes: obtaining a variance between the plurality of volume reduction values; when the variance meets a preset threshold value, acquiring an average value of the volume reduction values as a target volume reduction value; and generating the volume reduction instruction according to the target volume reduction value.
That is, when the variance between the plurality of volume down values satisfies the preset threshold, the volume down instruction may be generated according to an average value of the plurality of volume down values; otherwise, the volume-down command may be generated with a maximum value between the volume-down values. The volume reduction instruction is generated through a plurality of volume reduction values, so that the accuracy of controlling the playing volume can be improved.
For example, assume that Q pieces of target voice information are first voice information and second voice information, and the voice information includes text information, time information, and volume information, where a preset weight of the text information is 0.5, a preset weight of the time information is 0.3, and a preset weight of the volume information is 0.2. If the volume reduction value corresponding to the character information in the first voice information is 20 decibels, the volume reduction value corresponding to the time information is 15 decibels, and the volume reduction value corresponding to the volume information is 12 decibels; the volume reduction value corresponding to the text information in the second voice information is 30 db, the volume reduction value corresponding to the time information is 10 db, and the volume reduction value corresponding to the volume information is 15 db, the volume reduction value corresponding to the first voice information is 16.9 db, the volume control value corresponding to the second voice information is 21 db, the average value between the two values is 18.95, the variance is about 4.2, assuming that the preset threshold value is 2, the variance is greater than the preset threshold value, and if the maximum value of the two values is 21 db, the target volume reduction value in the volume reduction instruction is 21 db.
Optionally, the method further includes: and if the call scene is a harassing call, sending prompt information.
Whether the current call is a harassing call or not can be identified by analyzing the target voice information, if so, voice prompt can be carried out through a loudspeaker of the vehicle-mounted equipment, or information prompt is sent to a mobile terminal which is connected with the call, so that the anti-harassment capability is improved, and safety information leakage or financial loss can be avoided.
Optionally, a volume increase instruction is generated according to the Q pieces of target voice information, and the volume increase instruction is sent to the mobile terminal corresponding to the voice information, so as to increase the call volume of the mobile terminal. Namely, when the surrounding has larger noise to influence the call, the volume of the mobile terminal is automatically increased, thereby improving the call quality.
Optionally, if the Q pieces of target voice information correspond to volume control instructions, the volume reduction instruction corresponding to the volume control instructions is obtained. Namely, the loudspeaker of the vehicle-mounted equipment is controlled according to the preset volume control instruction. For example: if the text information corresponding to the Q target voice information is to reduce the volume by one point, the volume reduction instruction is to reduce the volume by 2 decibels; and if the text information corresponding to the Q target voice information is the closing volume, the volume reduction instruction is to close the loudspeaker.
In the method shown in fig. 1, sound in the vehicle is collected to obtain voice information, the voice information is subjected to voice recognition to obtain P pieces of voice segment information, target voice information matching the P pieces of voice segment information with at least one piece of key information in a preset voice set is searched to obtain Q pieces of target voice information, and then a volume reduction instruction is generated according to the Q pieces of target voice information, that is, a speaker in the vehicle can generate the volume reduction instruction according to the voice information to adjust the playing volume, so that the communication quality is improved.
Referring to fig. 2A, fig. 2A is a schematic structural diagram of a call processing device according to an embodiment of the present disclosure. As shown in fig. 2A, the call processing apparatus 200 includes:
the collecting unit 201 is used for collecting sound in the vehicle to obtain voice information.
The recognition unit 202 is configured to perform speech recognition on the speech information to obtain P pieces of speech segment information, where P is a positive integer.
The searching unit 203 is configured to search for target voice information in which the P pieces of voice segment information are matched with at least one piece of key information in a preset voice set, so as to obtain Q pieces of target voice information, where the preset voice set includes a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P.
And the processing unit 204 is configured to generate a volume reduction instruction according to the Q pieces of target voice information, where the volume reduction instruction is used to instruct a speaker to reduce playing volume.
In one possible example, each piece of voice segment information in the P pieces of voice segment information includes a plurality of dimension information, as shown in fig. 2B, the processing unit 204 includes:
an obtaining module 2041, configured to obtain, according to each piece of dimension information in the multiple pieces of dimension information and a preset weight corresponding to each piece of dimension information, a volume reduction value corresponding to each piece of target speech information in the Q pieces of target speech information, to obtain multiple volume reduction values;
the generating module 2042 is configured to generate the volume reduction instruction according to the volume reduction values.
In one possible example, the obtaining module 2041 further obtains a variance between the plurality of volume reduction values; when the variance meets a preset threshold value, acquiring an average value of the volume reduction values as a target volume reduction value;
the generating module 2042 is further configured to generate the volume reduction instruction according to the target volume reduction value.
In one possible example, the apparatus 200 further includes an obtaining unit 205, configured to obtain the preset voice set corresponding to the voice information according to a pre-recorded sound file and a historical call record.
In one possible example, the apparatus 200 further includes a sending unit 206, configured to send the volume reduction instruction to an in-vehicle device connected to the mobile terminal when the apparatus is a mobile terminal, where the volume reduction instruction is used to instruct a speaker of the in-vehicle device to reduce a playing volume.
It can be seen that the voice information is obtained by collecting the sound in the vehicle, the voice information is subjected to voice recognition to obtain P voice fragment information, the target voice information matched with at least one key information in the preset voice set is searched for the P voice fragment information to obtain Q target voice information, and then the volume reduction instruction is generated according to the Q target voice information, namely the loudspeaker in the vehicle can generate the volume reduction instruction according to the voice information to adjust the playing volume, so that the communication quality is improved.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 3, the electronic device 300 includes:
and the voice pickup module 301 is used for collecting sound in the vehicle to obtain voice information.
A processor 302, configured to perform speech recognition on the speech information to obtain P pieces of speech segment information, where P is a positive integer; searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P; and generating a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume.
In a possible example, each piece of voice segment information in the P pieces of voice segment information includes multiple pieces of dimension information, and in terms of generating, by the processor 302, a volume reduction instruction according to the Q pieces of target voice information, the processor 302 is specifically configured to obtain, according to each piece of dimension information in the multiple pieces of dimension information and a preset weight corresponding to each piece of dimension information, a volume reduction value corresponding to each piece of target voice information in the Q pieces of target voice information, so as to obtain multiple volume reduction values; and generating the volume reduction instruction according to the volume reduction values.
In one possible example, in terms of the processor 302 generating the volume-down instruction according to the plurality of volume-down values, the processor 302 is specifically configured to obtain a variance between the plurality of volume-down values; when the variance meets a preset threshold value, acquiring an average value of the volume reduction values as a target volume reduction value; and generating the volume reduction instruction according to the target volume reduction value.
In a possible example, before the processor 302 searches for target voice information in which the P pieces of voice segment information match at least one piece of key information in a preset voice set, the processor 302 is further configured to obtain the preset voice set corresponding to the voice information according to a pre-recorded sound file and a historical call record.
In one possible example, when the electronic device is a mobile terminal, the volume reduction instruction is sent to an in-vehicle device connected with the mobile terminal, and the volume reduction instruction is used for instructing a speaker of the in-vehicle device to reduce playing volume.
It can be seen that the voice information is obtained by collecting the sound in the vehicle, the voice information is subjected to voice recognition to obtain P voice fragment information, the target voice information matched with at least one key information in the preset voice set is searched for the P voice fragment information to obtain Q target voice information, and then the volume reduction instruction is generated according to the Q target voice information, namely the loudspeaker in the vehicle can generate the volume reduction instruction according to the voice information to adjust the playing volume, so that the communication quality is improved.
Referring to fig. 4, fig. 4 is a flowchart illustrating another call processing method provided by the present application, and the call processing method is applied to the electronic device described in fig. 3. Wherein:
401: the voice pickup module collects sound in the vehicle to obtain voice information.
402: and the processor performs voice recognition on the voice information to obtain P pieces of voice fragment information.
403: and the processor searches for target voice information of which the P voice fragment information is matched with at least one key information in a preset voice set to obtain Q target voice information.
404: and the processor generates a volume reduction instruction according to the Q pieces of target voice information.
In one possible example, each of the P pieces of speech segment information includes a plurality of dimensional information, and the processor generates a volume reduction instruction according to the Q pieces of target speech information, including:
the processor obtains a volume reduction value corresponding to each target voice message in the Q target voice messages according to each dimension message in the dimension messages and a preset weight corresponding to each dimension message to obtain a plurality of volume reduction values;
the processor generates the volume reduction instruction according to the volume reduction values.
In one possible example, the processor generates the volume-down instruction according to the plurality of volume-down values, including:
the processor obtaining a variance between the plurality of volume reduction values;
when the variance meets a preset threshold value, the processor acquires an average value of the volume reduction values as a target volume reduction value;
and the processor generates the volume reduction instruction according to the target volume reduction value.
In one possible example, before the processor finds out target voice information in which the P pieces of voice segment information match with at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, the method further includes:
and the processor acquires the preset voice set corresponding to the voice information according to a pre-recorded voice file and a historical call record.
In one possible example, the method further comprises:
the processor sends the volume reduction instruction to vehicle-mounted equipment connected with the mobile terminal;
the volume reduction instruction is used for instructing the loudspeaker to reduce the playing volume, and comprises the following steps:
the volume reduction instruction is used for instructing a loudspeaker of the vehicle-mounted equipment to reduce the playing volume.
It can be seen that the voice information is obtained by collecting the sound in the vehicle, the voice information is subjected to voice recognition to obtain P voice fragment information, the target voice information matched with at least one key information in the preset voice set is searched for the P voice fragment information to obtain Q target voice information, and then the volume reduction instruction is generated according to the Q target voice information, namely the loudspeaker in the vehicle can generate the volume reduction instruction according to the voice information to adjust the playing volume, so that the communication quality is improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the present disclosure, which is consistent with the embodiments shown in fig. 1, fig. 2A, fig. 3, and fig. 4. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, a communication interface 530, and one or more programs 540, wherein the one or more programs 540 are stored in the memory 520 and configured to be executed by the processor 510, the program 540 including instructions for performing the steps of:
collecting sound in the vehicle to obtain voice information;
performing voice recognition on the voice information to obtain P pieces of voice fragment information, wherein P is a positive integer;
searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P;
and generating a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume.
In one possible example, each piece of speech segment information in the P pieces of speech segment information includes a plurality of dimension information, and in the aspect of generating the volume reduction instruction according to the Q pieces of target speech information, the program 540 is specifically configured to execute the following steps:
obtaining a volume reduction value corresponding to each target voice message in the Q target voice messages according to each dimension message in the dimension messages and a preset weight corresponding to each dimension message to obtain a plurality of volume reduction values;
and generating the volume reduction instruction according to the volume reduction values.
In one possible example, in said generating the volume-down instruction according to the plurality of volume-down values, program 540 is specifically configured to execute the instructions of:
obtaining a variance between the plurality of volume reduction values;
when the variance meets a preset threshold value, acquiring an average value of the volume reduction values as a target volume reduction value;
and generating the volume reduction instruction according to the target volume reduction value.
In one possible example, before the searching for the target speech information in which the P pieces of speech segment information match at least one piece of key information in the preset speech set, the program 540 is further configured to execute the following steps:
and acquiring the preset voice set corresponding to the voice information according to a pre-recorded voice file and a historical call record.
In one possible example, the program 540 is further for instructions to perform the steps of:
sending the volume reduction instruction to vehicle-mounted equipment connected with the mobile terminal;
the volume reduction instruction is used for instructing the loudspeaker to reduce the playing volume, and comprises the following steps:
the volume reduction instruction is used for instructing a loudspeaker of the vehicle-mounted equipment to reduce the playing volume.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for causing a computer to execute some or all of the steps of any one of the methods as described in the method embodiments, and the computer includes a mobile terminal.
Embodiments of the application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as recited in the method embodiments. The computer program product may be a software installation package and the computer comprises a mobile terminal.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware or a form of software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (14)

1. A call processing method is characterized by comprising the following steps:
collecting sound in the vehicle to obtain voice information;
performing voice recognition on the voice information to obtain P pieces of voice fragment information, wherein P is a positive integer;
searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P;
generating a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume;
wherein each piece of voice clip information in the P pieces of voice clip information includes a plurality of pieces of dimensional information, and the generating of the volume reduction instruction according to the Q pieces of target voice information includes:
obtaining a volume reduction value corresponding to each target voice message in the Q target voice messages according to each dimension message in the dimension messages and a preset weight corresponding to each dimension message to obtain a plurality of volume reduction values;
and generating the volume reduction instruction according to the volume reduction values.
2. The method of claim 1, wherein the generating the volume-down instruction according to the plurality of volume-down values comprises:
obtaining a variance between the plurality of volume reduction values;
when the variance meets a preset threshold value, acquiring an average value of the volume reduction values as a target volume reduction value;
and generating the volume reduction instruction according to the target volume reduction value.
3. The method according to claim 1, wherein before said searching for the target speech information of which the P pieces of speech segment information match with at least one key information in a preset speech set, the method further comprises:
and acquiring the preset voice set corresponding to the voice information according to a pre-recorded voice file and a historical call record.
4. The method according to claim 2, wherein before the searching for the target speech information with which the P pieces of speech segment information match at least one key information in a preset speech set, the method further comprises:
and acquiring the preset voice set corresponding to the voice information according to a pre-recorded voice file and a historical call record.
5. The method according to any one of claims 1-4, further comprising:
sending the volume reduction instruction to vehicle-mounted equipment connected with the mobile terminal;
the volume reduction instruction is used for instructing the loudspeaker to reduce the playing volume, and comprises the following steps:
the volume reduction instruction is used for instructing a loudspeaker of the vehicle-mounted equipment to reduce the playing volume.
6. An electronic device, comprising: processor, with the pronunciation pickup module of processor connection, wherein:
the voice pickup module is used for collecting the sound in the vehicle to obtain voice information;
the processor is used for carrying out voice recognition on the voice information to obtain P pieces of voice fragment information, wherein P is a positive integer; searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P; generating a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume;
in the aspect that the processor generates a volume reduction instruction according to the Q pieces of target voice information, the processor is specifically configured to obtain a volume reduction value corresponding to each piece of target voice information in the Q pieces of target voice information according to each piece of dimension information in the plurality of pieces of dimension information and a preset weight corresponding to each piece of dimension information, so as to obtain a plurality of volume reduction values; and generating the volume reduction instruction according to the volume reduction values.
7. The electronic device of claim 6, wherein, in generating the volume-down instruction according to the plurality of volume-down values by the processor, the processor is specifically configured to obtain a variance between the plurality of volume-down values; when the variance meets a preset threshold value, acquiring an average value of the volume reduction values as a target volume reduction value; and generating the volume reduction instruction according to the target volume reduction value.
8. The electronic device according to claim 6, wherein before the processor searches for the target voice information in which the P pieces of voice clip information match at least one key information in a preset voice set, the processor is further configured to obtain the preset voice set corresponding to the voice information according to a pre-recorded sound file and a historical call record.
9. The electronic device according to claim 7, wherein before the processor searches for the target voice information in which the P pieces of voice clip information match at least one key information in a preset voice set, the processor is further configured to obtain the preset voice set corresponding to the voice information according to a pre-recorded sound file and a historical call record.
10. The electronic device according to any one of claims 6 to 9, wherein when the electronic device is a mobile terminal, the volume-down instruction is sent to an in-vehicle device connected to the mobile terminal, and the volume-down instruction is used to instruct a speaker of the in-vehicle device to reduce playing volume.
11. A call processing apparatus, comprising:
the acquisition unit is used for acquiring sound in the vehicle to obtain voice information;
the recognition unit is used for carrying out voice recognition on the voice information to obtain P pieces of voice fragment information, and P is a positive integer;
the searching unit is used for searching target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P;
the processing unit is used for generating a volume reduction instruction according to the Q pieces of target voice information, and the volume reduction instruction is used for indicating a loudspeaker to reduce the playing volume;
wherein the content of the first and second substances,
each piece of voice fragment information in the P pieces of voice fragment information includes a plurality of pieces of dimension information, and the generating of the volume reduction instruction according to the Q pieces of target voice information includes:
obtaining a volume reduction value corresponding to each target voice message in the Q target voice messages according to each dimension message in the dimension messages and a preset weight corresponding to each dimension message to obtain a plurality of volume reduction values;
and generating the volume reduction instruction according to the volume reduction values.
12. A call processing method is applied to an electronic device comprising a processor and a voice pickup module connected with the processor, wherein:
the voice pickup module collects sound in the vehicle to obtain voice information;
the processor performs voice recognition on the voice information to obtain P pieces of voice fragment information, wherein P is a positive integer;
the processor searches for target voice information matched with the P pieces of voice fragment information and at least one piece of key information in a preset voice set to obtain Q pieces of target voice information, wherein the preset voice set comprises a plurality of pieces of key information, and Q is a positive integer smaller than or equal to P;
the processor generates a volume reduction instruction according to the Q pieces of target voice information, wherein the volume reduction instruction is used for instructing a loudspeaker to reduce the playing volume;
wherein the content of the first and second substances,
each piece of voice fragment information in the P pieces of voice fragment information includes a plurality of pieces of dimension information, and the generating of the volume reduction instruction according to the Q pieces of target voice information includes:
obtaining a volume reduction value corresponding to each target voice message in the Q target voice messages according to each dimension message in the dimension messages and a preset weight corresponding to each dimension message to obtain a plurality of volume reduction values;
and generating the volume reduction instruction according to the volume reduction values.
13. An electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the method of any of claims 1-5.
14. A computer-readable storage medium for storing a computer program, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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