CN112992136A - Intelligent infant monitoring system and method - Google Patents
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- CN112992136A CN112992136A CN202011491638.1A CN202011491638A CN112992136A CN 112992136 A CN112992136 A CN 112992136A CN 202011491638 A CN202011491638 A CN 202011491638A CN 112992136 A CN112992136 A CN 112992136A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 title claims description 18
- 238000004891 communication Methods 0.000 claims abstract description 13
- 206010011469 Crying Diseases 0.000 claims abstract description 12
- 238000012795 verification Methods 0.000 claims abstract description 11
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 230000009191 jumping Effects 0.000 claims description 7
- 239000013598 vector Substances 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000000474 nursing effect Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 210000001260 vocal cord Anatomy 0.000 description 2
- 206010039740 Screaming Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/24—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being the cepstrum
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/221—Announcement of recognition results
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Abstract
The invention discloses an intelligent infant monitoring system, which comprises: the system comprises a sound acquisition device, a local server and a third-party server; the sound acquisition device is used for acquiring environmental sound and forming a voice signal; the local server comprises a storage unit, a communication unit, a verification unit and a decision unit; the storage unit is used for reading the sound acquisition device and storing the voice signals, and the communication unit is used for uploading the voice signals to the third-party server and receiving feedback data of the third-party server; the checking unit is used for starting the decision unit when the feedback data is a preset unique code; the decision unit is used for dialing a prestored telephone number when the unique code is expired; the third-party server comprises a receiving unit and an identification unit; the receiving unit is used for receiving the voice signal uploaded by the local server, the identifying unit is used for identifying whether the voice signal contains the crying of the child, and when the voice signal contains the crying of the child, the preset unique code is used as feedback data to be sent to the local server. The invention can reduce the load of the server and accelerate the monitoring response speed of the crying of the baby.
Description
Technical Field
The invention belongs to the technical field of infant care equipment, and particularly relates to an intelligent infant monitoring system and an intelligent infant monitoring method based on the system.
Background
With the advancement of technology, various intelligent devices for infant monitoring are continuously available. Existing baby monitors mainly include a baby-end monitor and a control-end display. The working process is as follows: the nursing device is placed in the room of the baby, and the safety of the baby is monitored at any time through the display. The monitoring end part is provided with a camera which is placed in a room where the baby is positioned for shooting the video of the baby, and is provided with a built-in microphone which sends out a signal through an antenna on the nursing device, then a display receives the signal, and a parent can see the movement of the baby through the display at the receiving end. The problems with this solution are: the decibel recognition speed is slow, and the burden on a server is large. Therefore, how to develop a new intelligent infant monitoring system to overcome the above problems is the direction of research needed by those skilled in the art.
Disclosure of Invention
The invention aims to provide an intelligent infant monitoring system which can reduce the burden of a server and accelerate the monitoring response speed of crying and screaming of infants.
The technical scheme is as follows:
an intelligent infant monitoring system, comprising: the system comprises a sound acquisition device, a local server and a third-party server; the voice acquisition device is used for acquiring environmental voice and forming a voice signal; the local server comprises a storage unit, a communication unit, a verification unit and a decision unit; the storage unit is used for reading the sound acquisition device and storing the voice signal; the communication unit is used for realizing data interaction between the local server and the third-party server, uploading voice signals to the third-party server and receiving feedback data of the third-party server; the checking unit is used for reading the feedback data and starting the decision unit when the feedback data is a preset unique code; the decision unit is used for comparing whether the unique code is expired or not, and dialing a prestored telephone number through a virtual telephone when the unique code is expired; the third-party server comprises a receiving unit and an identification unit; the receiving unit is used for receiving the voice signals uploaded by the local server, the identifying unit is used for identifying whether the voice signals contain children crying or not, and when the voice signals contain the children crying, the preset unique codes are sent to the local server as feedback data.
Preferably, the above intelligent infant monitoring system evidence: the sound collection device adopts a miniature microphone/decibel meter.
More preferably, the intelligent infant monitoring system of the preceding claims, further comprising: the sound collection device is integrated in the intelligent watch.
The application further discloses an intelligent infant monitoring system based on the intelligent infant monitoring system.
The technical scheme is as follows:
an intelligent infant monitoring method, comprising the steps of:
s1: capturing environmental sound by a sound acquisition device to form a voice signal;
s2: the local server reads the sound acquisition device, stores the voice signal obtained in the S1 in the storage unit and uploads the voice signal to the third-party server through the communication unit;
s3: the third-party server receives and analyzes the voice signal, and jumps to S4 when the voice signal does not contain the crying of the child, and jumps to S5 when the voice signal contains the crying of the child;
s4: the third-party server outputs a termination signal to the local server, and the verification unit terminates the flow of the local server;
s5: the third-party server extracts a pre-stored unique code and feeds the unique code back to the local server;
s6: the verification unit verifies the unique code of S5, and if the unique code is overdue, the local server process is terminated; if the unique code is not expired, go to S7:
s7: the local server dials the prestored mobile phone number through the virtual phone.
Preferably, in the intelligent infant monitoring method, the step S3 includes:
s31: the third-party server (3) receives and analyzes the voice signal to obtain voiceprint characteristics;
s32: and matching the voiceprint features obtained in the step S31 with the standard feature vectors stored in the voiceprint library, if the matching is not successful, determining that the child cry is not contained, and jumping to the step S4, and if the matching is successful, determining that the child cry is contained, and jumping to the step S5.
More preferably, in the intelligent infant monitoring method:
in the step S2, the local server synchronously generates and uploads a local timestamp when uploading the voice signal obtained in the step S1 to the third-party server through the communication unit;
in the step S5, the third party server outputs S2 the local timestamp to the local server while extracting the pre-stored unique code and feeding back the extracted unique code to the local server;
in the step S6, the verification unit compares the local timestamp of S5 with the current time to obtain a time difference, determines that the unique code is expired and terminates the process of the local server (2) if the time difference is greater than or equal to a pre-stored time difference threshold, and determines that the unique code is not expired if the time difference is less than the pre-stored time difference threshold, and then proceeds to S7.
Compared with the prior art, the invention has the following beneficial effects:
the server is extremely low in burden, sound does not need to be transmitted, and only the unique code needs to be transmitted, so that the transmission bandwidth is small, the speed is high, the user experience is improved, and much time is saved; here, the uploaded sound file is basically about 15s, so the broadband requirement of the transmission is not very high.
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The invention will be described in further detail with reference to the following detailed description and accompanying drawings:
FIG. 1 is a block diagram of the present invention;
fig. 2 is a flow chart of the operation of the present invention.
Detailed Description
In order to more clearly illustrate the technical solution of the present invention, the following will be further described with reference to various embodiments.
Example 1 as shown in fig. 1-2:
an intelligent infant monitoring system, comprising: the system comprises a sound collection device 1, a local server 2 and a third-party server 3;
the sound collection device 1 is used for collecting environmental sound and forming a voice signal; the local server 2 comprises a storage unit, a communication unit, a verification unit and a decision unit; the storage unit is used for reading the sound acquisition device 1 and storing the voice signal; the communication unit is used for realizing data interaction between the local server 2 and the third-party server 3, uploading voice signals to the third-party server 3 and receiving feedback data of the third-party server 3; the checking unit is used for reading the feedback data and starting the decision unit when the feedback data is a preset unique code; the decision unit is used for comparing whether the unique code is expired or not, and dialing a prestored telephone number through a virtual telephone when the unique code is expired; the third party server 3 comprises a receiving unit and an identifying unit; the receiving unit is used for receiving the voice signals uploaded by the local server 2, the identifying unit is used for identifying whether the voice signals contain children crying, and when the voice signals contain the children crying, the preset unique codes are used as feedback data to be sent to the local server 2.
In practice, the working process is as follows:
an intelligent infant monitoring method, comprising the steps of:
s1: capturing environmental sound by using the sound acquisition device 1 to form a voice signal;
s2: the local server 2 reads the sound collection device 1, stores the voice signal obtained in the step S1 in a storage unit, uploads the voice signal to the third-party server 3 through a communication unit, and synchronously generates and uploads a local timestamp;
s31: the third-party server 3 receives and analyzes the voice signal to obtain voiceprint characteristics;
s32: matching the voiceprint features obtained in the step S31 with standard feature vectors stored in a voiceprint library, if the matching is not successful, determining that the child cry is not contained, and jumping to the step S4, and if the matching is successful, determining that the child cry is contained, and jumping to the step S5;
s4: the third-party server outputs a termination signal to the local server, and the verification unit terminates the flow of the local server 2;
s5: the third party server 3 extracts the pre-stored unique code and feeds back the unique code to the local server 2, and meanwhile, the local timestamp is output to the local server S2; in this example: the unique code is b89d9d70312b64dbd67cca37b35f9f7 e;
s6: the check unit checks the unique code of S5: comparing the local timestamp of S5 with the current time to obtain a time difference, if the time difference is greater than or equal to a pre-stored time difference threshold, determining that the unique code is expired and terminating the process of the local server 2, if the time difference is less than the pre-stored time difference threshold, determining that the unique code is not expired, and jumping to S7;
s7: the local server 2 dials the prestored mobile phone number through the virtual phone.
In the above steps, the parsing process of the voice signal is as follows: the human vocal process can be seen as a linear system of airflow in the lungs through the vocal cords. If e (t) represents the input excitation (pitch) of the sound, and h (t) represents the response of the vocal cords (i.e. the features we need to obtain), the heard speech signal is x (t) ═ e (t) × h (t), i.e. the convolution of the two. In the frequency domain, the product x (w) of the two x (w) and e (w) and h (w); typically in frequency domain analysis we only focus on the energy of the spectrum, ignoring its phase information, i.e., | x (w) | e (w) | h (w) |; (ii) subsequently calculating a frequency spectrum as a function of log | x (w) | e (w) | + log | h (w) |; finally, Fourier inversion is carried out to obtain a cepstrum coefficient: c (n) ═ IDFT (log | x (w) |) | IDFT (log | e (w) | + log | h (w) |)
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. The protection scope of the present invention is subject to the protection scope of the claims.
Claims (6)
1. An intelligent infant monitoring system, comprising: the system comprises a sound collection device (1), a local server (2) and a third-party server (3);
the sound collection device (1) is used for collecting environmental sound, forming a voice signal and uploading the voice signal to the local server (2) in a binary form;
the local server (2) comprises a storage unit, a communication unit, a verification unit and a decision unit;
the storage unit is used for storing the voice signals uploaded by the sound acquisition device (1);
the communication unit is used for sending the voice signals uploaded by the sound acquisition device (1) to the third-party server (3) and receiving feedback signals of the third-party server (3); the feedback signal of the third party server (3) is a termination signal or a unique coding signal;
the checking unit is used for reading the feedback signal, terminating the flow when the feedback signal is a termination signal, and starting the decision unit when the feedback signal is a unique code;
the decision unit is used for checking the unique code when starting, and automatically dialing a prestored telephone number through the virtual telephone if the unique code is expired;
the third party server (3) comprises a receiving unit and an identifying unit; the voice recognition system comprises a receiving unit, an identification unit and a local server (2), wherein the receiving unit is used for receiving voice signals uploaded by the local server (2), a standard feature vector and a unique code are prestored in the identification unit and used for analyzing voiceprint features in the voice signals, matching the voiceprint features with the standard feature vector, and sending the prestored unique code as feedback data to the local server (2) when the similarity between the voiceprint features and the standard feature vector reaches a threshold value.
2. The intelligent infant monitoring system of claim 1, wherein: the sound collection device (1) adopts a miniature microphone or a decibel meter.
3. The intelligent infant monitoring system of claim 2, wherein: the sound collection device (1) is integrated in the intelligent watch.
4. An intelligent infant monitoring method is characterized by comprising the following steps:
s1: capturing environmental sound by a sound acquisition device (1) to form a voice signal;
s2: the local server (2) reads the sound acquisition device (1), stores the voice signal obtained by the S1 in a storage unit and uploads the voice signal to the third-party server (3) through a communication unit;
s3: the third-party server (3) receives and analyzes the voice signal, and jumps to S4 when the voice signal does not contain the crying of the child, and jumps to S5 when the voice signal contains the crying of the child;
s4: the third-party server outputs a termination signal to the local server, and the verification unit terminates the flow of the local server (2);
s5: the third-party server (3) extracts the pre-stored unique code and feeds the unique code back to the local server (2);
s6: the verification unit verifies the unique code of S5, and if the unique code is expired, the flow of the local server (2) is terminated; if the unique code is not expired, go to S7:
s7: the local server (2) dials the prestored mobile phone number through the virtual phone.
5. The intelligent infant monitoring method of claim 4, wherein the step S3 includes:
s31: the third-party server (3) receives and analyzes the voice signal to obtain voiceprint characteristics;
s32: and matching the voiceprint features obtained in the step S31 with the standard feature vectors stored in the voiceprint library, if the matching is not successful, determining that the child cry is not contained, and jumping to the step S4, and if the matching is successful, determining that the child cry is contained, and jumping to the step S5.
6. The intelligent infant monitoring method of claim 5, wherein:
in the step S2, the local server (2) synchronously generates and uploads a local timestamp when the voice signal obtained in the step S1 is uploaded to the third-party server (3) through the communication unit;
in the step S5, the third party server extracts the pre-stored unique code and feeds back the unique code to the local server (2), and simultaneously outputs S2 the local timestamp to the local server;
in the step S6, the verification unit compares the local timestamp of S5 with the current time to obtain a time difference, determines that the unique code is expired and terminates the process of the local server (2) if the time difference is greater than or equal to a pre-stored time difference threshold, and determines that the unique code is not expired if the time difference is less than the pre-stored time difference threshold, and then proceeds to S7.
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Application publication date: 20210618 |