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How does Audio Surveillance make "Good Voice" understandable from what you hear?
In the field of security, audio systems have long been an important part of the security system. Although more than 70% of network cameras have one-way or multi-directional audio functions, there are few surveillance cameras that actually use audio functions. The analysis of the future audio monitoring market believes that it will maintain a steady growth trend with an increase of around 10%. IHS predicts that future audio features will receive more attention in video surveillance systems.
In many incidents, we took video footage and found that only the screen did not have a voice and everything depended on the confession of the parties. This undoubtedly caused obstacles to the public agency to detect cases, and the public’s doubts were difficult to avoid. The installation of audio monitoring will undoubtedly solve the problem of doubt and increase the persuasiveness of the evidence.
Therefore, many smart security systems now require increased audio collection. For example, in safe cities, public security law cases, financial institutions, public transportation, education invigilation, administrative services, law enforcement and evidence collection, more and more high-quality projects need to be high. Clear, high-fidelity audio and video synchronization monitoring system has highlighted the importance of audio monitoring in high-quality security projects.
How to "listen" to "understand"?
Voiceprint recognition
After years of development of audio monitoring, it has been possible to identify the speaker's emotions, the environment he is in and other issues through sound recognition. In the audio monitoring process, voiceprint recognition provides important technical support.
Voiceprint recognition is a kind of biometric technology. It is a technology that automatically recognizes the speaker's identity based on the speech parameters reflecting the physiological and behavioral characteristics of the speaker in the speech waveform. What needs to be emphasized here is that, unlike voice recognition, voiceprint recognition uses the speaker information in the voice signal without considering the meaning of the words in the voice. It emphasizes the personality of the speaker, and the purpose of voice recognition is to identify The speech content in the speech signal does not consider who the speaker is. It emphasizes commonality.
At the same time, the application of voiceprint recognition has some special advantages compared to other biometrics:
(1) Voices containing voiceprint features are easy and natural to obtain, and voiceprint extraction can be done unknowingly, so users' acceptance is also high;
(2) Acquiring speech recognition is cheap, easy to use, and it can be used as a microphone. When using a communication device, no additional recording equipment is required.
(3) It is suitable for remote identity verification. It only requires a microphone, telephone or mobile phone to enable remote login through the Internet (communication network or internet);
(4) The algorithm of voiceprint recognition and verification is low in complexity;
(5) With some other measures, such as content identification through voice recognition, etc., can improve the accuracy;
These advantages make the application of voiceprint recognition more and more popular among system developers and users. The world market share of voiceprint recognition is 15.8%, which is second only to biometric recognition of fingerprints and palm prints, and it has a rising trend.
Sound positioning
People often use hearing to determine the location of sound objects. For example, when you walk alone and suddenly hear a sound, you will immediately determine what the sound is, whether it is a threat to you, where it came from, and so on. Determining the direction and distance of sound needs to compare information from both ears. Although you will judge and respond quickly, the process of sound localization is a complex and complex function of the auditory system.
The sound localization is achieved by the difference in intensity, time difference, chromatic aberration, phase difference, and the like.
Audio scene analysis
As an important channel for people to perceive the external environment, hearing can play an irreplaceable role in visual obstacles and unfavorable lighting conditions, and is an important visual supplement. Compared to image data, audio signals can often be acquired using relatively simple devices and occupy less storage space and processing time. With the continuous improvement of the computing capabilities of current mobile platforms, more and more applications based on audio have emerged. The audio processing algorithms involved have always been the focus of related research fields.
Among them, the extraction, analysis and effective use of the semantic information carried by the audio data is of great significance to content-based multimedia retrieval, abstraction, and development context adaptive applications.
The analysis of audio scenes is mainly for abnormal behaviors occurring under the monitoring environment of analysis, decision, and early warning. Its core technology is based on the characteristics of all kinds of abnormal sounds in the time domain and frequency domain, combined with the pattern recognition method to alert the abnormal events.
Speech Recognition
Talking to the machine and letting the machine understand what you are saying is what people have long dreamed of. Speech recognition technology is the high technology that allows machines to translate speech signals into corresponding text or commands by identifying and understanding the process.
After decades of development of speech recognition technology, deep-learning artificial intelligence voice will be widely used.
Audio monitoring holds great promise in the field of security
Due to the limitations of the camera lens and mounting angle of the traditional video surveillance system, the surveillance area is difficult to cover without blind corners. Even if the camera is installed through multiple angles, full coverage cannot be guaranteed. The camera image acquisition is affected by many environmental factors (eg, on-site lighting. , strong light source interference, etc.) can't effectively capture the live image. The audio monitoring technology, due to the technical characteristics of the audio itself, basically does not have a monitoring blind spot, and can more effectively control the real-time situation on the spot. So audio monitoring technology can make up for the lack of video surveillance technology.
At the same time, the sound has a series of unique features, such as not affected by the day and night, not easy to block, with directional and so on. A microphone is placed on the dome machine to locate the direction of the sound. When an abnormal sound is detected, the dome camera is controlled to a corresponding position. In this way, the real-time video of the location of the abnormal sound can be seen at a certain level for the first time. Provides a variety of information for determining the state of affairs.
In the age of artificial intelligence, voice technology and applications related to voice technology, image technology, and related applications have become particularly important today. The data generated around speech, images, and other sensors, as well as the production, analysis, organization, and consumption of these data, are destined to become the most important direction of development in the field of intelligence for a long time to come. We look forward to the tremendous changes that security audio brings to security.