CN104954543A - Automatic alarm method and device and mobile terminal - Google Patents
Automatic alarm method and device and mobile terminal Download PDFInfo
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- CN104954543A CN104954543A CN201410125805.9A CN201410125805A CN104954543A CN 104954543 A CN104954543 A CN 104954543A CN 201410125805 A CN201410125805 A CN 201410125805A CN 104954543 A CN104954543 A CN 104954543A
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Abstract
The invention discloses an automatic alarm method and device and a mobile terminal, and belongs to the technical field of computers. The automatic alarm method comprises the steps that sound signals are acquired via a microphone; whether the contents of the sound signals include key information corresponding to abnormal sound signals is detected; and if the detection result shows that the contents of the sound signals include the key information corresponding to the abnormal sound signals, alarm information is directly pushed, and the alarm information includes the contents of the sound signals. The alarm information is directly pushed when the detection shows that the contents of the sound signals acquired by the microphone include the key information corresponding to the abnormal sound signals so that problems in the related technologies that alarm failure is liable to be generated in manual dialing of users when alarming is performed by using the mobile terminal can be solved, and the effect of automatic alarm can be realized without user operation.
Description
Technical field
The disclosure relates to field of computer technology, particularly a kind of automatic alarm method, device and mobile terminal.
Background technology
Universal along with mobile terminal application, mobile terminal becomes one of essential items that user carries with already.In life, user is probably among unpredictable danger, and such as plunder, kidnap or other burst accidents etc., the mobile terminal that therefore how user can be utilized to carry with is reported to the police, and becomes the hot issue merited attention.
Undertaken in the process of reporting to the police traditional by mobile terminal, first need on the desktop of mobile terminal, arrange a quick number, this quick number is generally the number that can receive warning, such as 110, when danger occurs, user can open the desktop of mobile terminal, and clicks the quick number on this desktop, realizes automatic alarm.
Inventor is realizing in process of the present disclosure, finds that correlation technique at least exists following defect: when user reporting to the police by clicking the quick number arranged, needing user's manual dialup, when user is more nervous, easily causing reporting to the police unsuccessfully.
Summary of the invention
In order to solve in correlation technique when using mobile terminal to report to the police, need user's manual dialup, easily causing the failed problem of reporting to the police, present disclose provides a kind of automatic alarm method, device and mobile terminal.Described technical scheme is as follows:
According to the first aspect of disclosure embodiment, provide a kind of automatic alarm method, be applied to and include in the mobile terminal of microphone, described method comprises:
By described microphone collected sound signal;
Detect in the content of described voice signal and whether comprise key message corresponding to abnormal sound signal;
If testing result is comprise key message corresponding to described abnormal sound signal in the content of described voice signal, then directly push warning message, described warning message comprises the content of described voice signal.
Optionally, whether comprise key message corresponding to abnormal sound signal in the content of the described voice signal of described detection, comprising:
Extract the frequecy characteristic of described voice signal;
Detect and whether there is the frequecy characteristic being positioned at predetermined high-frequency range;
If testing result is there is the frequecy characteristic being positioned at described predetermined high-frequency range, then determine in the content of described voice signal, to comprise key message corresponding to abnormal sound signal.
Optionally, described method also comprises:
Utilize the high-frequency characteristic being positioned at described predetermined high-frequency range, determine the end points of the key message that abnormal sound signal is corresponding in the content of described voice signal;
Extract the sound clip between described end points;
The described sound clip extracted is defined as key message corresponding to abnormal sound signal.
Optionally, described the described sound clip extracted is defined as key message corresponding to abnormal sound signal, comprises:
The described sound clip extracted is separated, obtains at least two sub-sound clips after being separated;
Every sub-sound clip is defined as key message corresponding to abnormal sound signal respectively.
Optionally, described method also comprises:
The key message corresponding to described abnormal sound signal identifies, obtains the abnormal class corresponding to key message that described abnormal sound signal is corresponding.
Optionally, the described key message corresponding to described abnormal sound signal identifies, obtains the abnormal class corresponding to key message that described abnormal sound signal is corresponding, comprising:
Obtain the characteristic vector of key message corresponding to described abnormal sound signal;
Described characteristic vector is mated with each abnormal sound template prestored in type identification model;
Calculate the probability that each abnormal sound template is matched to merit;
Abnormal class corresponding to abnormal sound template maximum for probable value is defined as the abnormal class of key message corresponding to described abnormal sound signal.
Optionally, described method also comprises:
Receive the open command being used to indicate and opening automatic alarm pattern, open automatic alarm pattern, perform the described step by described microphone collected sound signal;
Or,
Receive the open command being used to indicate and opening automatic alarm pattern, open automatic alarm pattern, perform the step whether comprising key message corresponding to abnormal sound signal in the content of the described voice signal of described detection.
According to the second aspect of disclosure embodiment, provide a kind of autoalarm, be applied to and include in the mobile terminal of microphone, described device comprises:
Acquisition module, for passing through described microphone collected sound signal;
Detection module, for detect the described voice signal that described acquisition module collects content in whether comprise key message corresponding to abnormal sound signal;
Alarm module, for being that when comprising key message corresponding to described abnormal sound signal in the content of described voice signal, directly push warning message, described warning message comprises the content of described voice signal in the testing result of described detection module.
Optionally, described detection module comprises:
Extraction unit, for extracting the frequecy characteristic of described voice signal;
Detecting unit, for detecting the frequecy characteristic whether existing and be positioned at predetermined high-frequency range;
First determining unit, in the testing result of described detecting unit be exist be positioned at the frequecy characteristic of described predetermined high-frequency range time, determine in the content of described voice signal, to comprise key message corresponding to abnormal sound signal.
Optionally, described device also comprises:
First determination module, for utilizing the high-frequency characteristic being positioned at described predetermined high-frequency range, determines the end points of the key message that abnormal sound signal is corresponding in the content of described voice signal;
Extraction module, for extracting the sound clip between described end points;
Second determination module, for being defined as key message corresponding to abnormal sound signal by the described sound clip extracted.
Optionally, described second determination module comprises:
Separative element, for being separated by the described sound clip extracted, obtains at least two sub-sound clips after being separated;
Second determining unit, for being defined as key message corresponding to abnormal sound signal respectively by every sub-sound clip.
Optionally, described device also comprises:
Identification module, identifies for the key message corresponding to described abnormal sound signal, obtains the abnormal class corresponding to key message that described abnormal sound signal is corresponding.
Optionally, described identification module comprises:
Acquiring unit, for obtaining the characteristic vector of key message corresponding to described abnormal sound signal;
Matching unit, mates with each abnormal sound template prestored in type identification model for the described characteristic vector got by described acquiring unit;
Computing unit, is matched to the probability of merit for calculating each abnormal sound template;
3rd determining unit, for being defined as the abnormal class of key message corresponding to described abnormal sound signal by the abnormal class corresponding to abnormal sound template maximum for probable value.
Optionally, described device also comprises:
First receiver module, for receiving the open command being used to indicate and opening automatic alarm pattern, opens automatic alarm pattern; Trigger described acquisition module by described microphone collected sound signal;
Or,
Second receiver module, for receiving the open command being used to indicate and opening automatic alarm pattern, opens automatic alarm pattern; Trigger described detection module and detect in the content of the described voice signal that described acquisition module collects whether comprise key message corresponding to abnormal sound signal.
According to the third aspect of disclosure embodiment, provide a kind of mobile terminal, described mobile terminal comprises microphone, and described mobile terminal comprises:
Processor;
For storing the memory of described processor executable;
Wherein, described processor is configured to:
By described microphone collected sound signal;
Detect in the content of described voice signal and whether comprise key message corresponding to abnormal sound signal;
If testing result is comprise key message corresponding to described abnormal sound signal in the content of described voice signal, then directly push warning message, described warning message comprises the content of described voice signal.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
During by comprising key message corresponding to abnormal sound signal in the content of voice signal microphone collection being detected, directly push warning message; Solving in correlation technique when using mobile terminal to report to the police, needing user's manual dialup, easily causing the failed problem of reporting to the police; Reaching when not needing user operation, realizing the effect of automatic alarm.
Should be understood that, it is only exemplary that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in specification and to form the part of this specification, shows embodiment according to the invention, and is used from specification one and explains principle of the present invention.
Fig. 1 is the flow chart of a kind of automatic alarm method according to an exemplary embodiment;
Fig. 2 A is the flow chart of a kind of automatic alarm method according to another exemplary embodiment;
Fig. 2 B is a kind of schematic diagram opening automatic alarm mode interface according to an exemplary embodiment;
Fig. 2 C is the schematic diagram of collect one section of voice signal according to an exemplary embodiment;
Fig. 2 D is the schematic diagram corresponding to the sound clip of two abnormal sounds extracted according to an exemplary embodiment;
Fig. 2 E is the schematic flow sheet that the key message corresponding to abnormal sound signal according to an exemplary embodiment identifies;
Fig. 3 is the schematic diagram of a kind of autoalarm according to an exemplary embodiment;
Fig. 4 is the schematic diagram of a kind of autoalarm according to another exemplary embodiment;
Fig. 5 is the schematic diagram of a kind of mobile terminal according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Execution mode described in following exemplary embodiment does not represent all execution modes consistent with the present invention.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present invention are consistent.
Fig. 1 is the flow chart of a kind of automatic alarm method according to an exemplary embodiment, as shown in Figure 1, this automatic alarm method can be applied in mobile terminal, here said mobile terminal can be smart mobile phone, panel computer, intelligent television, E-book reader, MP3 player (Moving Picture Experts Group Audio Layer III, dynamic image expert compression standard audio frequency aspect 3), MP4(Moving Picture Experts Group Audio Layer IV, dynamic image expert compression standard audio frequency aspect 4) player, pocket computer on knee and desktop computer etc.This automatic alarm method can comprise the following steps.
In a step 101, by microphone collected sound signal.
In a step 102, detect in the content of voice signal and whether comprise key message corresponding to abnormal sound signal.
In step 103, if testing result is comprise key message corresponding to abnormal sound signal in the content of voice signal, then directly push warning message, warning message comprises the content of voice signal.
In sum, the automatic alarm method provided in disclosure embodiment, during by comprising key message corresponding to abnormal sound signal in the content of voice signal microphone collection being detected, directly pushes warning message; Solving in correlation technique when using mobile terminal to report to the police, needing user's manual dialup, easily causing the failed problem of reporting to the police; Reaching when not needing user operation, realizing the effect of automatic alarm.
Fig. 2 A is the flow chart of a kind of automatic alarm method according to another exemplary embodiment, as shown in Figure 2, this automatic alarm method can be applied in mobile terminal, and mobile terminal said here can be smart mobile phone, panel computer, intelligent television, E-book reader, MP3 player, MP4 player, pocket computer on knee and desktop computer etc.This automatic alarm method can comprise the following steps.
In step 201, by microphone collected sound signal.
Generally, can be provided with at least one microphone in mobile terminal, this microphone can collect extraneous voice signal; Some preferably mobile terminal can include main microphone and secondary microphone simultaneously, secondary microphone wherein can be arranged on back or the top of mobile terminal usually, and secondary microphone can be used for collecting the background sound of mobile terminal.
Under normal circumstances, dangerous is unpredictable, in all case all there is the possibility of causing danger, therefore in order to ensure the real-time effectiveness of automatic alarm, gathering the microphone (such as secondary microphone) of sound can be always in running order, i.e. microphone ceaselessly collected sound signal always; Obviously, in order to reduce the power consumption that microphone operationally produces, mobile terminal also can open the acquisition state of microphone under artificial selection.
For example, when user will drive to go away or by air, by plane before, in order to ensure at the time of emergency can automatic alarm, user can open the function of microphone collected sound signal on mobile terminals.Corresponding, mobile terminal can receive the open command being used to indicate and opening automatic alarm pattern, and opens automatic alarm pattern, and mobile terminal begins through microphone collected sound signal.
Fig. 2 B is a kind of schematic diagram opening automatic alarm mode interface according to an exemplary embodiment.As shown in Figure 2 B, opening button automatic alarm mode interface being provided with and selecting for user, comprising " unlatching " button and " cancellation " button, after user selects " unlatching " button, then open automatic alarm pattern, mobile terminal begins through microphone collected sound signal; When user selects " cancellation " button, then exit the setting of opening automatic alarm pattern, mobile terminal does not utilize microphone collected sound signal.
Obviously, in the implementation that another kind is possible, mobile terminal can also receive the open command being used to indicate and opening automatic alarm pattern after step 201, opens automatic alarm pattern, then performs step 202.Also namely when specifically using, microphone on mobile terminal is in the state of collected sound signal always, but after needing to receive the open command being used to indicate unlatching automatic alarm pattern, mobile terminal just detects the content of the voice signal collected, and this also reduces the power consumption to mobile terminal on certain procedures.
In step 202., the frequecy characteristic of voice signal is extracted.
The abnormal sound of public place mainly comprises: shot, explosive sound, glass breaking sound, shriek etc., and compared with the background sound in environment, the sound intensity of abnormal sound is large, energy is higher.Usually, energy can be reflected by frequency, background noise belongs to low-frequency noise usually, abnormal sound is then generally high-frequency noise, such as, the frequency of male sex's shriek concentrates between 700Hz-1500Hz, and the frequency of women and child's shriek concentrates between 1000Hz-3000Hz, and the clash frequency of sound of vial concentrates between 2400Hz-3000Hz.
Therefore the mobile terminal frequecy characteristic of voice signal that can collect according to the frequency abstraction of voice signal, detects according to frequecy characteristic in the content of this voice signal and whether there is key message corresponding to abnormal sound signal.Here said key message is the content in voice signal corresponding to abnormal sound signal.
In actual applications, the frequecy characteristic of voice signal can be extracted by multiple method, such as can be gathered the frequecy characteristic etc. of this voice signal by predetermined sample frequency.The present embodiment is not construed as limiting the mode used when extracting the frequecy characteristic of voice signal.
In step 203, detect whether there is the frequecy characteristic being positioned at predetermined high-frequency range.
Predetermined high-frequency range is generally used for indicating the frequency range corresponding to abnormal sound.Here said predetermined high-frequency range can be in advance according to the frequency range that the frequency statistics of a large amount of abnormal sound goes out, or according to the frequency range that the frequency empirical value of existing abnormal sound sets.
In step 204, if testing result is there is the frequecy characteristic being positioned at predetermined high-frequency range, then determine in the content of voice signal, to comprise key message corresponding to abnormal sound signal.
If there is frequency in voice signal when being positioned at the frequecy characteristic of predetermined high-frequency range, then show in the content of this voice signal, to there is key message corresponding to abnormal sound signal.
Refer to shown in Fig. 2 C, it is the schematic diagram of collect one section of voice signal according to an exemplary embodiment.Predetermined high-frequency range shown in Fig. 2 C is (f
0, f
1), with time shaft T, at T
0the key message A that near moment, appearance high-frequency sound signal is corresponding, its frequency is positioned at predetermined high-frequency range (f
0, f
1) in, at T
1also occur the key message B that high-frequency sound signal is corresponding near moment, its frequency is positioned at predetermined high-frequency range (f
0, f
1) in.Because predetermined high-frequency range is used to indicate the frequency range corresponding to abnormal sound, therefore can determine to create twice abnormal sound in this section of voice signal.
In step 205, utilize the high-frequency characteristic being positioned at predetermined high-frequency range, determine the end points of the key message that abnormal sound signal is corresponding in the content of voice signal.
Namely the end points corresponding to initial time of continuous print voice signal in predetermined high-frequency range and the end points corresponding to finish time is chosen.
Still see shown in Fig. 2 C, wherein for the key message A that abnormal sound signal is corresponding, the end points determined is A
1and A
2, for the key message B that abnormal signal is corresponding, the end points determined is B
1and B
2.
Generally, voice signal the end points corresponding to initial time and between the end points corresponding to finish time the frequency of the voice signal in each moment be all positioned at predetermined high-frequency range.That is, the frequency of the voice signal between two end points determined all is positioned at predetermined high-frequency range.
In step 206, the sound clip between end points is extracted.
For example, still see shown in Fig. 2 C, wherein for the key message A that abnormal sound signal is corresponding, the terminal A extracted
1to terminal A
2between sound clip, for the key message B that abnormal sound signal is corresponding, the terminal B extracted
1to terminal B
2between sound clip.
In step 207, the sound clip extracted is defined as key message corresponding to abnormal sound signal.
In a kind of possible scene, the sound clip extracted between two end points only corresponds to a kind of abnormal sound, therefore directly the sound clip extracted can be defined as key message corresponding to abnormal sound signal, than situation as that shown in fig. 2 c.
In actual applications, due to dangerous situation occur time, usual scene is relatively mixed and disorderly, easily produces one or more abnormal sounds in section at the same time simultaneously.Such as, when robbery event occurs in bank, most of personnel of Bank Hall may emit a shrill cry or hubbub etc. in section at the same time simultaneously, and meanwhile robber also may get shot.Therefore the sound clip between endpoints extracted may corresponding multiple abnormal sound signal.Therefore in the scene that another kind is possible, in section at the same time, at least two kinds of abnormal sounds may be there are simultaneously, also the sound clip namely extracted between end points corresponds at least two kinds of abnormal sounds, when now the sound clip extracted being defined as key message corresponding to abnormal sound signal, can comprise:
The first, the sound clip extracted is separated, obtains at least two sub-sound clips after being separated.
That is, when the sound clip extracted corresponds to multiple abnormal sound, then need to be separated this sound clip, obtain at least two sub-sound clips after being separated.Such as, the one section of sound clip extracted can comprise the sub-sound clip corresponding to shriek of a man and the sub-sound clip corresponding to shriek of a woman simultaneously.
The second, every sub-sound clip is defined as key message corresponding to abnormal sound signal respectively.
For example, refer to shown in Fig. 2 D, it is the schematic diagram corresponding to the sound clip of two abnormal sounds extracted according to an exemplary embodiment.This sound clip is simultaneously to there being two abnormal sounds, this sound clip (sound clip between end points 1 and end points 2) can be carried out separation and obtain sub-sound clip C and sub-sound clip D, sub-sound clip C is defined as key message corresponding to one of them abnormal sound signal, sub-sound clip D is defined as key message corresponding to another abnormal sound signal.
In a step 208, the key message corresponding to abnormal sound signal identifies, obtains the abnormal class corresponding to key message corresponding to abnormal sound signal.
In practical operation, when the key message corresponding to abnormal sound signal identifies, can be identified by predetermined model of cognition, such as common HMM(Hidden Markov Model, hidden Markov model).
Fig. 2 E is the schematic flow sheet that the key message corresponding to abnormal sound signal according to an exemplary embodiment identifies.Mobile terminal identifies at the key message corresponding to abnormal sound signal, when obtaining the abnormal class corresponding to key message corresponding to abnormal sound signal, can comprise the steps.
In step 208a, obtain the characteristic vector of key message corresponding to abnormal sound signal.
Also namely, first extract the feature of each frame voice of key message corresponding to this abnormal sound signal, such as then these features are formed a characteristic vector by Mel frequency cepstral coefficient (being called for short MFCC) parameter and difference coefficient thereof.
In step 208b, characteristic vector is mated with each abnormal sound template prestored in type identification model.
Here said type identification model can be HMM, and wherein each abnormal sound template is undertaken training obtaining by abnormal sound template of the same type in a large number in advance.Here abnormal sound template corresponding other abnormal sound various types of respectively, such as can correspond to the abnormal sound template of shot, corresponding to the abnormal sound module of explosive sound, corresponding to the abnormal sound template etc. of woman's shriek.
In step 208c, calculate the probability that each abnormal sound template is matched to merit.
When feature arbitrary in characteristic vector is mated with one of them abnormal sound template, if the matching degree obtained is greater than predefined matching threshold, then can determine that this abnormal sound template is matched to merit.Here said predefined matching threshold can obtain based on experience value.
Choose one of them abnormal sound template, each feature in characteristic vector is all mated with this abnormal sound module, finally obtain the probability P that this abnormal sound template is matched to merit
sfor:
P
s=S
1/S
2，
Wherein, S
1for the number of the feature that the match is successful, S
2by total number characteristic in this characteristic vector.
Thus, mobile terminal then according to the characteristic vector of key message corresponding to abnormal sound signal, can calculate the probability that each abnormal sound template is matched to merit.
In step 208d, the abnormal class corresponding to abnormal sound template maximum for probable value is defined as the abnormal class of key message corresponding to abnormal sound signal.
Generally, the equal corresponding a kind of abnormal sound of each abnormal sound template, such as corresponding shot, or corresponding glass breaking sound, or corresponding woman's shriek etc.
The abnormal sound template that the acquisition probable value that the match is successful is maximum, is defined as the abnormal class of key message corresponding to abnormal sound signal by the abnormal class corresponding to this abnormal sound module.Such as, when the abnormal sound template of abnormal sound template corresponding to shot that the probable value that the match is successful is maximum, then can using the abnormal class of shot as key message corresponding to the abnormal sound signal extracted.
In step 209, directly warning message is pushed.
In this warning message except can including the content of the voice signal that microphone collects, the positional information etc. at the abnormal class of the key message identified through step 208, the current place of terminal can also be comprised.
Generally, in order to ensure in warning message the evidence that entrained information can occur as event, usually can using the content of voice signal that the collects part as warning message.
When specific implementation, comparatively fast can learn that in order to make warning opposite end warning location is to realize suing and labouring, then can mobile terminal analyze current there is key message corresponding to abnormal sound signal time, mobile terminal can directly open global positioning system (GPS, Global Positioning System) or other position finders position current to terminal position, obtain the positional information after locating, and this positional information is defined as a part for warning message; Or, in order to make warning opposite end can learn the time that event occurs, can also be defined as a part for warning message the time getting abnormal sound signal; Or, can learn which kind of event to occur, to take corresponding measure to sue and labour, the abnormal class of the abnormal sound identified can also be defined as a part for warning message by mobile terminal to make warning opposite end.
In actual applications, mobile terminal is when pushing warning message, warning message can be pushed to the opposite end preset by the mode preset, here the said mode preset can be short message mode, mode, video mode, microblogging mode, lettergram mode etc. chatted in talking mode, language, will not enumerate here.Here said opposite end can be server or other-end, the terminal at the receiving number place of such as mailbox server, micro blog server, setting or answer the terminal etc. at number place.The type of the mode preset and the opposite end preset is not limited in the present embodiment.
It should be noted that, in actual applications, if the chip of mobile terminal enters resting state, mobile terminal still can realize the operation of above-mentioned steps 201 to step 209, to ensure still accurately and timely to carry out automatic alarm work when danger occurs, enhance fail safe and user friendly.
In sum, the automatic alarm method provided in disclosure embodiment, during by comprising key message corresponding to abnormal sound signal in the content of voice signal microphone collection being detected, the abnormal class of the key message that further acquisition abnormal sound signal is corresponding and correspondence, and directly propelling movement carries the content of voice signal and the warning message of abnormal class; Solving in correlation technique when using mobile terminal to report to the police, needing user's manual dialup, easily causing the failed problem of reporting to the police; Reaching when not needing user operation, realizing the effect of automatic alarm.
Following is disclosure device embodiment, may be used for performing disclosure embodiment of the method.For the details do not disclosed in disclosure device embodiment, please refer to disclosure embodiment of the method.
Fig. 3 is the schematic diagram of a kind of autoalarm according to an exemplary embodiment, as shown in Figure 3, this autoalarm can be applied in mobile terminal, and mobile terminal said here can be smart mobile phone, panel computer, intelligent television, E-book reader, MP3 player, MP4 player, pocket computer on knee and desktop computer etc.This autoalarm can include but not limited to: acquisition module 302, detection module 304 and alarm module 306.
This acquisition module 302 is configured to by microphone collected sound signal.
This detection module 304 is configured to whether comprise key message corresponding to abnormal sound signal in the content of the voice signal that detection acquisition module 302 collects.
It is that when comprising key message corresponding to abnormal sound signal in the content of voice signal, directly push warning message, warning message comprises the content of voice signal that this alarm module 306 is configured in the testing result of detection module 304.
In sum, the autoalarm provided in disclosure embodiment, during by comprising key message corresponding to abnormal sound signal in the content of voice signal microphone collection being detected, directly pushes warning message; Solving in correlation technique when using mobile terminal to report to the police, needing user's manual dialup, easily causing the failed problem of reporting to the police; Reaching when not needing user operation, realizing the effect of automatic alarm.
Fig. 4 is the schematic diagram of a kind of autoalarm according to another exemplary embodiment, as shown in Figure 4, this autoalarm can be applied in mobile terminal, and mobile terminal said here can be smart mobile phone, panel computer, intelligent television, E-book reader, MP3 player, MP4 player, pocket computer on knee and desktop computer etc.This autoalarm can include but not limited to: acquisition module 402, detection module 404 and alarm module 406.
This acquisition module 402 is configured to by microphone collected sound signal.
This detection module 404 is configured to whether comprise key message corresponding to abnormal sound signal in the content of the voice signal that detection acquisition module 402 collects.
It is that when comprising key message corresponding to abnormal sound signal in the content of voice signal, directly push warning message, warning message comprises the content of voice signal that this alarm module 406 is configured in the testing result of detection module 404.
In the first possible implementation in the embodiment shown in fig. 4, this detection module 404 can comprise: extraction unit 404a, detecting unit 404b and the first determining unit 404c.
This extraction unit 404a is configured to the frequecy characteristic extracting voice signal;
This detecting unit 404b is configured to detect the frequecy characteristic whether existing and be positioned at predetermined high-frequency range;
This first determining unit 404c be configured to the testing result of detecting unit 404b be exist be positioned at the frequecy characteristic of predetermined high-frequency range time, determine in the content of voice signal, to comprise key message corresponding to abnormal sound signal.
In the implementation that the second is in the embodiment shown in fig. 4 possible, this autoalarm can also comprise: the first determination module 408, extraction module 410 and the second determination module 412.
This first determination module 408 is configured to utilize the high-frequency characteristic being positioned at predetermined high-frequency range, determines the end points of the key message that abnormal sound signal is corresponding in the content of voice signal;
This extraction module 410 is configured to the sound clip extracted between end points;
This second determination module 412 is configured to the sound clip extracted to be defined as key message corresponding to abnormal sound signal.
In the third possible implementation in the embodiment shown in fig. 4, the second determination module 412 can comprise: separative element 412a and the second determining unit 412b.
This separative element 412a is configured to the sound clip extracted to be separated, and obtains at least two sub-sound clips after being separated;
This second determining unit 412b is configured to every sub-sound clip to be defined as key message corresponding to abnormal sound signal respectively.
In the 4th kind of possible implementation in the embodiment shown in fig. 4, autoalarm can also comprise: identification module 414.
This identification module 414 is configured to the key message corresponding to abnormal sound signal and identifies, obtains the abnormal class corresponding to key message corresponding to abnormal sound signal.
In the 5th kind of possible implementation in the embodiment shown in fig. 4, this identification module 414 can comprise: acquiring unit 414a, matching unit 414b, computing unit 414c and the 3rd determining unit 414d.
This acquiring unit 414a is configured to the characteristic vector obtaining key message corresponding to abnormal sound signal;
The characteristic vector that this matching unit 414b is configured to acquiring unit 414a to get is mated with each abnormal sound template prestored in type identification model;
This computing unit 414c is configured to calculate the probability that each abnormal sound template is matched to merit;
3rd determining unit 414d is configured to the abnormal class abnormal class corresponding to abnormal sound template maximum for probable value being defined as key message corresponding to abnormal sound signal.
In the 6th kind of possible implementation in the embodiment shown in fig. 4, this autoalarm can also comprise: the first receiver module 416 and the second receiver module 418.
This first receiver module 416 is configured to receive the open command being used to indicate and opening automatic alarm pattern, opens automatic alarm pattern; Triggering collection module 402 is by microphone collected sound signal;
Or,
This second receiver module 418 is configured to receive the open command being used to indicate and opening automatic alarm pattern, opens automatic alarm pattern; Detection trigger module 404 detects in the content of the voice signal that acquisition module 402 collects whether comprise key message corresponding to abnormal sound signal.
In sum, the autoalarm provided in disclosure embodiment, during by comprising key message corresponding to abnormal sound signal in the content of voice signal microphone collection being detected, the abnormal class of the key message that further acquisition abnormal sound signal is corresponding and correspondence, and directly propelling movement carries the content of voice signal and the warning message of abnormal class; Solving in correlation technique when using mobile terminal to report to the police, needing user's manual dialup, easily causing the failed problem of reporting to the police; Reaching when not needing user operation, realizing the effect of automatic alarm.
It should be noted that: the autoalarm that above-described embodiment provides is when carrying out automatic alarm according to the sound collected, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, internal structure by mobile terminal is divided into different functional modules, to complete all or part of function described above.In addition, the autoalarm that above-described embodiment provides and automatic alarm method embodiment belong to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
Fig. 5 is the schematic diagram of a kind of mobile terminal according to an exemplary embodiment.Such as, mobile terminal 500 can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, flat-panel devices, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 5, mobile terminal 500 can comprise following one or more assembly: processing components 502, memory 504, power supply module 506, multimedia groupware 508, audio-frequency assembly 510, I/O (I/O) interface 512, sensor cluster 514, and communications component 516.
Processing components 502 controls the integrated operation of mobile terminal 500 usually, and such as with display, call, data communication, camera operation and record operate the operation be associated.Processing components 502 can comprise one or more processor 518 to perform instruction, to complete all or part of step of the automatic alarm method described by above-mentioned Fig. 1 and Fig. 2.In addition, processing components 502 can comprise one or more module, and what be convenient between processing components 502 and other assemblies is mutual.Such as, processing components 502 can comprise multi-media module, mutual with what facilitate between multimedia groupware 508 and processing components 502.
Memory 504 is configured to store various types of data to be supported in the operation of mobile terminal 500.The example of these data comprises for any application program of operation on mobile terminal 500 or the instruction of method, contact data, telephone book data, message, picture, video etc.Memory 504 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read-only memory (prom), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
The various assemblies that power supply module 506 is mobile terminal 500 provide electric power.Power supply module 506 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for mobile terminal 500 and be associated.
Multimedia groupware 508 is included in the screen providing an output interface between mobile terminal 500 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant with touch or slide and pressure.In certain embodiments, multimedia groupware 508 comprises a front-facing camera and/or post-positioned pick-up head.When mobile terminal 500 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 510 is configured to export and/or input audio signal.Such as, audio-frequency assembly 510 comprises a microphone (MIC), and when mobile terminal 500 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The audio signal received can be stored in memory 504 further or be sent via communications component 516.In certain embodiments, audio-frequency assembly 510 also comprises a loud speaker, for output audio signal.
I/O interface 512 is for providing interface between processing components 502 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor cluster 514 comprises one or more transducer, for providing the state estimation of various aspects for mobile terminal 500.Such as, sensor cluster 514 can detect the opening/closing state of mobile terminal 500, the relative positioning of assembly, such as assembly is display and the keypad of mobile terminal 500, the position that sensor cluster 514 can also detect mobile terminal 500 or mobile terminal 500 1 assemblies changes, the presence or absence that user contacts with mobile terminal 500, the variations in temperature of mobile terminal 500 orientation or acceleration/deceleration and mobile terminal 500.Sensor cluster 514 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor cluster 514 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor cluster 514 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communications component 516 is configured to the communication being convenient to wired or wireless mode between mobile terminal 500 and other equipment.Mobile terminal 500 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 516 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, communications component 516 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, mobile terminal 500 can be realized, for performing the method for the automatic alarm described by above-mentioned Fig. 1 and Fig. 2 by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as comprise the memory 504 of instruction, the automatic alarm method that above-mentioned instruction can perform described in above-mentioned Fig. 1 and Fig. 2 by the processor 518 of mobile terminal 500.Such as, non-transitory computer-readable recording medium can be ROM, random-access memory (ram), CD-ROM, tape, floppy disk and optical data storage devices etc.
Those skilled in the art, at consideration specification and after putting into practice invention disclosed herein, will easily expect other embodiment of the present invention.The application is intended to contain any modification of the present invention, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present invention and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Specification and embodiment are only regarded as exemplary, and true scope of the present invention and spirit are pointed out by claim below.
Should be understood that, the present invention is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.Scope of the present invention is only limited by appended claim.
Claims (15)
1. an automatic alarm method, is applied to and includes in the mobile terminal of microphone, it is characterized in that, described method comprises:
By described microphone collected sound signal;
Detect in the content of described voice signal and whether comprise key message corresponding to abnormal sound signal;
If testing result is comprise key message corresponding to described abnormal sound signal in the content of described voice signal, then directly push warning message, described warning message comprises the content of described voice signal.
2. method according to claim 1, is characterized in that, whether comprises key message corresponding to abnormal sound signal, comprising in the content of the described voice signal of described detection:
Extract the frequecy characteristic of described voice signal;
Detect and whether there is the frequecy characteristic being positioned at predetermined high-frequency range;
If testing result is there is the frequecy characteristic being positioned at described predetermined high-frequency range, then determine in the content of described voice signal, to comprise key message corresponding to abnormal sound signal.
3. method according to claim 2, is characterized in that, described method also comprises:
Utilize the high-frequency characteristic being positioned at described predetermined high-frequency range, determine the end points of the key message that abnormal sound signal is corresponding in the content of described voice signal;
Extract the sound clip between described end points;
The described sound clip extracted is defined as key message corresponding to abnormal sound signal.
4. method according to claim 3, is characterized in that, described the described sound clip extracted is defined as key message corresponding to abnormal sound signal, comprising:
The described sound clip extracted is separated, obtains at least two sub-sound clips after being separated;
Every sub-sound clip is defined as key message corresponding to abnormal sound signal respectively.
5. method according to claim 4, is characterized in that, described method also comprises:
The key message corresponding to described abnormal sound signal identifies, obtains the abnormal class corresponding to key message that described abnormal sound signal is corresponding.
6. method according to claim 5, is characterized in that, the described key message corresponding to described abnormal sound signal identifies, obtains the abnormal class corresponding to key message that described abnormal sound signal is corresponding, comprising:
Obtain the characteristic vector of key message corresponding to described abnormal sound signal;
Described characteristic vector is mated with each abnormal sound template prestored in type identification model;
Calculate the probability that each abnormal sound template is matched to merit;
Abnormal class corresponding to abnormal sound template maximum for probable value is defined as the abnormal class of key message corresponding to described abnormal sound signal.
7., according to described method arbitrary in claim 1 to 6, it is characterized in that, described method also comprises:
Receive the open command being used to indicate and opening automatic alarm pattern, open automatic alarm pattern, perform the described step by described microphone collected sound signal;
Or,
Receive the open command being used to indicate and opening automatic alarm pattern, open automatic alarm pattern, perform the step whether comprising key message corresponding to abnormal sound signal in the content of the described voice signal of described detection.
8. an autoalarm, is applied to and includes in the mobile terminal of microphone, it is characterized in that, described device comprises:
Acquisition module, for passing through described microphone collected sound signal;
Detection module, for detect the described voice signal that described acquisition module collects content in whether comprise key message corresponding to abnormal sound signal;
Alarm module, for being that when comprising key message corresponding to described abnormal sound signal in the content of described voice signal, directly push warning message, described warning message comprises the content of described voice signal in the testing result of described detection module.
9. device according to claim 8, is characterized in that, described detection module comprises:
Extraction unit, for extracting the frequecy characteristic of described voice signal;
Detecting unit, for detecting the frequecy characteristic whether existing and be positioned at predetermined high-frequency range;
First determining unit, in the testing result of described detecting unit be exist be positioned at the frequecy characteristic of described predetermined high-frequency range time, determine in the content of described voice signal, to comprise key message corresponding to abnormal sound signal.
10. device according to claim 9, is characterized in that, described device also comprises:
First determination module, for utilizing the high-frequency characteristic being positioned at described predetermined high-frequency range, determines the end points of the key message that abnormal sound signal is corresponding in the content of described voice signal;
Extraction module, for extracting the sound clip between described end points;
Second determination module, for being defined as key message corresponding to abnormal sound signal by the described sound clip extracted.
11. devices according to claim 10, is characterized in that, described second determination module comprises:
Separative element, for being separated by the described sound clip extracted, obtains at least two sub-sound clips after being separated;
Second determining unit, for being defined as key message corresponding to abnormal sound signal respectively by every sub-sound clip.
12. devices according to claim 11, is characterized in that, described device also comprises:
Identification module, identifies for the key message corresponding to described abnormal sound signal, obtains the abnormal class corresponding to key message that described abnormal sound signal is corresponding.
13. devices according to claim 12, is characterized in that, described identification module comprises:
Acquiring unit, for obtaining the characteristic vector of key message corresponding to described abnormal sound signal;
Matching unit, mates with each abnormal sound template prestored in type identification model for the described characteristic vector got by described acquiring unit;
Computing unit, is matched to the probability of merit for calculating each abnormal sound template;
3rd determining unit, for being defined as the abnormal class of key message corresponding to described abnormal sound signal by the abnormal class corresponding to abnormal sound template maximum for probable value.
Arbitrary described device in 14. according to Claim 8 to 13, it is characterized in that, described device also comprises:
First receiver module, for receiving the open command being used to indicate and opening automatic alarm pattern, opens automatic alarm pattern; Trigger described acquisition module by described microphone collected sound signal;
Or,
Second receiver module, for receiving the open command being used to indicate and opening automatic alarm pattern, opens automatic alarm pattern; Trigger described detection module and detect in the content of the described voice signal that described acquisition module collects whether comprise key message corresponding to abnormal sound signal.
15. 1 kinds of mobile terminals, described mobile terminal comprises microphone, it is characterized in that, described mobile terminal comprises:
Processor;
For storing the memory of described processor executable;
Wherein, described processor is configured to:
By described microphone collected sound signal;
Detect in the content of described voice signal and whether comprise key message corresponding to abnormal sound signal;
If testing result is comprise key message corresponding to described abnormal sound signal in the content of described voice signal, then directly push warning message, described warning message comprises the content of described voice signal.
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| CN201410125805.9A CN104954543A (en) | 2014-03-31 | 2014-03-31 | Automatic alarm method and device and mobile terminal |
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| CN107742517A (en) * | 2017-10-10 | 2018-02-27 | 广东中星电子有限公司 | A kind of detection method and device to abnormal sound |
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| CN110797025A (en) * | 2019-11-14 | 2020-02-14 | 杭州康锐电气工程有限公司 | Intelligent workshop control system |
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| CN113781757A (en) * | 2021-07-27 | 2021-12-10 | 金鹏电子信息机器有限公司 | Artificial intelligence networking alarm management platform and networking alarm management method |
| CN113781757B (en) * | 2021-07-27 | 2023-12-26 | 金鹏电子信息机器有限公司 | Artificial intelligence networking alarm management platform and networking alarm management method |
| CN113947855A (en) * | 2021-09-18 | 2022-01-18 | 中标慧安信息技术股份有限公司 | Intelligent building personnel safety alarm system based on voice recognition |
| CN113938754A (en) * | 2021-10-11 | 2022-01-14 | 深圳创维－Rgb电子有限公司 | Automatic alarm method, device, equipment and storage medium |
| CN113938754B (en) * | 2021-10-11 | 2024-01-19 | 深圳创维－Rgb电子有限公司 | Automatic alarm method, device, equipment and storage medium |
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Application publication date: 20150930 |