Pilot fast-wearing oxygen mask microphone communication noise reduction method and system

Abstract

The invention belongs to the field of aviation technology design, and particularly relates to a pilot fast-wearing type oxygen mask microphone communication noise reduction method and a system thereof.The pilot fast-wearing type oxygen mask microphone communication noise reduction method comprises the steps of sound source monitoring, specifically, sound in a closed cavity of a fast-wearing type oxygen mask is continuously collected through a microphone; a voice processing step: judging whether the sound in the closed cavity of the quick-wearing oxygen mask is breathing sound or not in real time; the amplitude, the frequency, the period and the unvoiced and voiced sound distribution characteristics are synthesized to judge whether the sound in the closed cavity of the fast-wearing oxygen mask is breath sound or not; a logic control step: when the sound in the closed cavity of the quick-wearing oxygen mask is judged to be breathing sound, switching off microphone communication; and when the sound in the closed cavity of the quick-wearing oxygen mask is judged not to be breathing sound, microphone communication is turned on.

Description

Technical Field

[0001] This application belongs to the field of aviation technology design, specifically relating to a method and system for noise reduction of microphone communication in a pilot's quick-wear oxygen mask. Background Technology

[0002] Pilots sometimes need to wear quick-wear oxygen masks when performing flight missions.

[0003] The quick-wear oxygen mask has a closed-cavity structure. When the pilot inhales, a miniature oxygen regulator integrated into the mask supplies oxygen. The resulting high-speed airflow impacts the closed cavity, producing a high-amplitude whistling sound. The pilot's communication microphone is located near the mask cavity, usually adjacent to the miniature oxygen regulator. Pilots using microphones are severely interfered with by breathing noise, resulting in unclear onboard communications and affecting the effectiveness of voice communication.

[0004] In view of the above-mentioned technical deficiencies, this application is hereby filed. Summary of the Invention

[0005] The purpose of this application is to provide a noise reduction system for microphone communication in a pilot's quick-wear oxygen mask, which suppresses the noise generated by breathing inside the quick-wear oxygen mask during microphone communication to ensure clear microphone communication.

[0006] The technical solution of this application is:

[0007] A method for noise reduction in microphone communication using a pilot's quick-wear oxygen mask includes:

[0008] Sound source monitoring steps: Continuously collect sound from inside the sealed cavity of the quick-wear oxygen mask using a microphone;

[0009] Voice processing steps: Real-time determination of whether the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound;

[0010] Based on the combined characteristics of amplitude, frequency, period, and voiced / unvoiced sound distribution, determine whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound;

[0011] Logic control steps: When it is determined that the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound, the microphone communication is turned off;

[0012] Once it is determined that the sound inside the sealed cavity of the quick-wear oxygen mask is not a breathing sound, turn on the microphone for communication.

[0013] Optionally, in the above-mentioned method for noise reduction of microphone communication in a pilot's quick-wear oxygen mask, a speech processing model is constructed based on a neural network algorithm. By identifying whether the amplitude, frequency, period, and voiced / unvoiced sound distribution match the characteristics of breathing sounds, it is determined whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound.

[0014] Optionally, in the above-mentioned method for noise reduction of microphone communication using a pilot's quick-wear oxygen mask, sound samples of the pilot's breathing and conversation while wearing the quick-wear oxygen mask are collected to train the speech processing model.

[0015] Optionally, in the above-mentioned noise reduction method for pilot quick-wear oxygen mask microphone communication, the speech processing model can accurately identify all the sound samples of the call.

[0016] Optionally, in the above-mentioned noise reduction method for microphone communication of pilot quick-wear oxygen mask, the accuracy of the speech processing model in determining whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound reaches over 95%.

[0017] Optionally, the above-mentioned noise reduction method for microphone communication using a pilot's quick-wear oxygen mask also includes:

[0018] Noise reduction processing steps: When microphone communication is enabled, the sound collected by the microphone is processed to reduce noise before being transmitted to the communication device for voice communication.

[0019] Optionally, in the above-mentioned method for noise reduction of microphone communication for pilot quick-wear oxygen masks, the ambient noise inside the closed cavity of the quick-wear oxygen mask is collected by sound pressure measurement points, and the ambient noise is eliminated from the sound collected by the microphone while the voice volume is enhanced.

[0020] A pilot quick-wear oxygen mask microphone communication noise reduction system is used to implement the above-mentioned pilot quick-wear oxygen mask microphone communication noise reduction method, including a sound source monitoring module, a voice processing module, a logic control module, and a noise reduction processing module.

[0021] The sound source monitoring module continuously collects sound from inside the sealed cavity of the quick-wear oxygen mask via a microphone;

[0022] The voice processing module determines in real time whether the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound;

[0023] The speech processing module integrates amplitude, frequency, period, and voiced / unvoiced sound distribution characteristics to determine whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound;

[0024] The logic control module shuts down microphone communication when it determines that the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound; and turns on microphone communication when it determines that the sound inside the sealed cavity of the quick-wear oxygen mask is not a breathing sound.

[0025] Optionally, in the aforementioned pilot quick-wear oxygen mask microphone communication noise reduction system, the voice processing module constructs a voice processing model based on a neural network algorithm. By identifying whether the amplitude, frequency, period, and voiced / unvoiced sound distribution match the characteristics of breathing sounds, it determines whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound.

[0026] Optionally, in the aforementioned pilot quick-wear oxygen mask microphone communication noise reduction system, the voice processing model is trained by collecting sound samples of the pilot's breathing and conversation while wearing the quick-wear oxygen mask.

[0027] Optionally, in the aforementioned pilot quick-wear oxygen mask microphone communication noise reduction system, the speech processing model can accurately identify all the sound samples of the call.

[0028] Optionally, in the aforementioned pilot quick-wear oxygen mask microphone communication noise reduction system, the accuracy of the voice processing model in determining whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound reaches over 95%.

[0029] Optionally, the aforementioned pilot quick-wear oxygen mask microphone communication noise reduction system also includes a noise reduction processing module;

[0030] When microphone communication is enabled, the noise reduction module performs noise reduction processing on the sound collected by the microphone and then transmits it to the communication device for voice communication.

[0031] Optionally, in the aforementioned pilot quick-wear oxygen mask microphone communication noise reduction system, the noise reduction processing module collects the environmental noise inside the closed cavity of the quick-wear oxygen mask through sound pressure measurement points, eliminates environmental noise from the sound collected by the microphone, and simultaneously enhances the voice volume.

[0032] Optionally, in the aforementioned pilot quick-wear oxygen mask microphone communication noise reduction system, the sound source monitoring module is connected to the microphone, and the microphone is integrated into the miniature oxygen regulator of the quick-wear oxygen mask.

[0033] The voice processing module, logic control module, and noise reduction module are integrated into the flow display device box of the quick-wear oxygen mask.

[0034] This application has at least the following beneficial technical effects:

[0035] This invention provides a noise reduction system for microphone communication in a pilot's quick-wear oxygen mask. It adopts a design concept of suppressing breathing sounds, and by judging breathing sounds, it turns the microphone on and off, and filters out environmental noise to ensure clear microphone communication. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the communication noise reduction method for a pilot's quick-wear oxygen mask provided in an embodiment of this application;

[0037] Figure 2 This is a schematic diagram of the communication noise reduction system for a pilot's quick-wear oxygen mask provided in an embodiment of this application.

[0038] To better illustrate this embodiment, some content in the accompanying drawings may be omitted, enlarged, or reduced. They are for illustrative purposes only and should not be construed as limiting the scope of this application. Detailed Implementation

[0039] To make the technical solution and advantages of this application clearer, the technical solution of this application will be described in a clearer and more complete manner below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only some embodiments of this application, and are only used to explain this application, not to limit this application. It should be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, and other related parts can be referred to the general design.

[0040] Furthermore, unless otherwise defined, the technical or scientific terms used in this application description shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The word "comprising" as used in this application description indicates that the concept preceding the word encompasses the concepts listed following the word and their equivalents, without excluding other related concepts.

[0041] Furthermore, the terms indicating location used in the description of this application are only used to indicate relative directions or positional relationships. When the absolute position of the described object changes, its relative positional relationship may also change accordingly. It should also be noted that, unless otherwise explicitly specified and limited, terms such as "installation" and "connection" used in the description of this application should be interpreted broadly. For example, a connection can be a fixed connection or a detachable connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand its specific meaning in this application according to the specific circumstances.

[0042] The whistling sound generated within the sealed cavity of a pilot's quick-wear oxygen mask when supplied with air by a miniature oxygen regulator is a high-amplitude sound signal with distinctive characteristics, concentrated during the inhalation phase, while the human body cannot communicate during inhalation. Based on this, this application provides a microphone communication noise reduction method for a pilot's quick-wear oxygen mask, such as... Figure 1 As shown.

[0043] Sound source monitoring steps: Continuously collect sound from the sealed cavity of the quick-wear oxygen mask using a microphone.

[0044] Voice processing steps: Real-time determination of whether the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound.

[0045] By comprehensively considering characteristics such as amplitude, frequency, period, and distribution of voicing and unvoicing, it is possible to determine whether the sound inside the closed cavity of a quick-wear oxygen mask is a breathing sound, ensuring the accuracy of the judgment from multiple dimensions.

[0046] A speech processing model can be built based on neural network algorithms. By identifying whether the amplitude, frequency, period, and voiced / unvoiced sound distribution match the characteristics of breathing sounds, it can be determined whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound.

[0047] It can collect sound samples of pilots breathing and talking while wearing quick-wear oxygen masks, train the speech processing model, and enable the speech processing model to accurately judge all the sound samples of the conversation. The accuracy of judging whether the sound inside the closed cavity of the quick-wear oxygen mask is breathing sound reaches more than 95%.

[0048] Logic control steps: When it is determined that the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound, the microphone communication is turned off;

[0049] Once it is determined that the sound inside the sealed cavity of the quick-wear oxygen mask is not a breathing sound, turn on the microphone for communication.

[0050] Noise reduction processing steps: When microphone communication is enabled, the sound collected by the microphone is processed to reduce noise before being transmitted to the communication device for voice communication.

[0051] The ambient noise inside the closed cavity of the quick-wear oxygen mask can be collected through sound pressure measurement points. The ambient noise can be eliminated from the sound collected by the microphone, while the voice volume can be enhanced.

[0052] A pilot's quick-wear oxygen mask microphone communication noise reduction system, such as Figure 2 As shown, it includes a sound source monitoring module, a voice processing module, a logic control module, and a noise reduction processing module.

[0053] The sound source monitoring module is connected to a microphone, which is integrated into the miniature oxygen regulator of the quick-wear oxygen mask.

[0054] The voice processing module, logic control module, and noise reduction module are integrated into the flow display device box of the quick-wear oxygen mask.

[0055] The sound source monitoring module continuously collects the sound inside the sealed cavity of the quick-wearing oxygen mask through a microphone.

[0056] The voice processing module determines in real time whether the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound.

[0057] The voice processing module integrates features such as amplitude, frequency, period, and voiced / unvoiced sound distribution to determine whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound, ensuring the accuracy of the judgment from multiple dimensions.

[0058] The speech processing module can build a speech processing model based on neural network algorithms. By identifying whether the amplitude, frequency, period, and voiced / voiced sound distribution match the characteristics of breathing sounds, it can determine whether the sound inside the closed cavity of the quick-wear oxygen mask is a breathing sound.

[0059] The speech processing model was trained by collecting sound samples of pilots breathing and talking while wearing quick-wear oxygen masks. The speech processing model can accurately judge all the sound samples of the conversation, and the accuracy of judging whether the sound inside the closed cavity of the quick-wear oxygen mask is breathing sound reaches more than 95%.

[0060] The logic control module shuts down microphone communication when it determines that the sound inside the sealed cavity of the quick-wear oxygen mask is a breathing sound; and turns on microphone communication when it determines that the sound inside the sealed cavity of the quick-wear oxygen mask is not a breathing sound.

[0061] When microphone communication is enabled, the noise reduction module performs noise reduction processing on the sound collected by the microphone and then transmits it to the communication device for voice communication.

[0062] The noise reduction module collects environmental noise inside the closed cavity of the quick-wear oxygen mask through sound pressure measurement points, eliminates environmental noise from the sound collected by the microphone, and enhances the voice volume at the same time.

[0063] The pilot quick-wear oxygen mask microphone communication noise reduction and system disclosed in the above embodiments adopts the design concept of suppressing breathing sounds. By judging the breathing sounds, the microphone is turned on or off, and environmental noise is filtered out to ensure clear microphone communication.

[0064] Those skilled in the art should also recognize that the various modules of the pilot quick-wear oxygen mask microphone communication noise reduction system disclosed in the embodiments of this application can be implemented by electronic hardware, computer software, or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, they are generally described in terms of function in this application. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can choose different methods to implement the described functions for each specific application and its actual constraints, but such implementation should not be considered to be beyond the scope of this application.

[0065] The technical solution of this application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. Those skilled in the art should understand that the scope of protection of this application is obviously not limited to these specific embodiments. Without departing from the principles of this application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of this application.

Claims

1. A method for noise reduction in microphone communication using a pilot's quick-wear oxygen mask, characterized in that, It comprises: Sound source monitoring step: continuously collecting the sound in the closed cavity of the fast-wearing oxygen mask through the microphone; Voice processing step: judging whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound in real time; Comprehensive amplitude, frequency, period, and distribution characteristics of clear and hoarse sound to determine whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound; Logical control step: when it is determined that the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound, turn off the microphone communication; When it is determined that the sound in the closed cavity of the fast-wearing oxygen mask is not breathing sound, turn on the microphone communication.

2. The pilot quick donning oxygen mask microphone communication noise reduction method of claim 1, wherein, Based on the neural network algorithm, a voice processing model is constructed to determine whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound by identifying whether the amplitude, frequency, period, and distribution of clear and hoarse sound meet the characteristics of breathing sound.

3. The pilot quick donning oxygen mask microphone communication noise reduction method of claim 2, wherein, Collect the sound samples of the pilot wearing the fast-wearing oxygen mask breathing and talking to train the voice processing model.

4. The pilot quick donning oxygen mask microphone communication noise reduction method of claim 3, wherein, The voice processing model can accurately determine all the sound samples of the conversation.

5. The pilot quick donning oxygen mask microphone communication noise reduction method of claim 4, wherein, The accuracy of the voice processing model in determining whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound reaches more than 95%.

6. The pilot quick donning oxygen mask microphone communication noise reduction method of claim 5 wherein, It also comprises: Noise reduction processing step: when the microphone communication is turned on, the noise reduction processing is performed on the sound collected by the microphone, and then the sound is transmitted to the communication device for voice communication.

7. The pilot quick donning oxygen mask microphone communication noise reduction method of claim 6 wherein, Through the sound pressure measuring point, the environmental noise in the closed cavity of the fast-wearing oxygen mask is collected, and the environmental noise is eliminated from the sound collected by the microphone, while the voice volume is enhanced.

8. A pilot quick donning oxygen mask microphone communication noise reduction system for implementing the pilot quick donning oxygen mask microphone communication noise reduction method of claim 1, wherein, It comprises a sound source monitoring module, a voice processing module, a logical control module, and a noise reduction processing module. The sound source monitoring module continuously collects the sound in the closed cavity of the fast-wearing oxygen mask through the microphone. The voice processing module determines whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound in real time. The voice processing module determines whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound by comprehensively considering the amplitude, frequency, period, and distribution characteristics of clear and hoarse sound. The logical control module turns off the microphone communication when it is determined that the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound. The logical control module turns on the microphone communication when it is determined that the sound in the closed cavity of the fast-wearing oxygen mask is not breathing sound.

9. The pilot quick donning oxygen mask microphone communication noise reduction system of claim 8 wherein, In the voice processing module, a voice processing model is constructed based on the neural network algorithm to determine whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound by identifying whether the amplitude, frequency, period, and distribution of clear and hoarse sound meet the characteristics of breathing sound.

10. The pilot quick donning oxygen mask microphone communication noise reduction system of claim 9, wherein, The voice processing model is trained by collecting the sound samples of the pilot wearing the fast-wearing oxygen mask breathing and talking.

11. The pilot quick -donning oxygen mask microphone communication noise reduction system of claim 10 wherein, The voice processing model can accurately determine all the sound samples of the conversation.

12. The pilot quick donning oxygen mask microphone communication noise reduction system of claim 11, wherein, The accuracy of the voice processing model in determining whether the sound in the closed cavity of the fast-wearing oxygen mask is breathing sound reaches more than 95%.

13. The pilot quick donning oxygen mask microphone communication noise reduction system of claim 12 wherein, It also comprises a noise reduction processing module. The noise reduction processing module performs noise reduction processing on the sound collected by the microphone when the microphone communication is turned on, and then the sound is transmitted to the communication device for voice communication.

14. The pilot quick donning oxygen mask microphone communication noise reduction system of claim 13, wherein, The noise reduction processing module collects the environmental noise in the closed cavity of the fast-wearing oxygen mask through the sound pressure measuring point, eliminates the environmental noise from the sound collected by the microphone, and enhances the voice volume.

15. The pilot quick donning oxygen mask microphone communication noise reduction system of claim 14 wherein, The sound source monitoring module is connected to the microphone, and the microphone is integrated in the miniature oxygen regulator of the fast-wearing oxygen mask.

16. The voice processing module, the logic control module, and the noise reduction processing module are integrated in the flow indicator case of the quick donning oxygen mask.

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