![]() ![]() For example, in the music recording/production/mastering industry, there are at least three main areas where AI demonstrates its impact: assisted mastering, assisted mixing and assisted composition. It is worth underscoring that AI machines don’t replace humans, rather AI provides tools to render complex processes more intuitive and reduce human time spent on tedious, uncreative tasks. In general, AI is having a transformative effect on a broad array of industries, including the music production and artistic industries which are drawn to AI as an aid to the creative process. 8.2Music production and artistic industries AI could contribute to data-driven real-time healthcare decisions, giving alarms when a person requires immediate assistance, such as in the case of the elderly or in hospitals. ![]() The human body generates sounds with clinically relevant information. There are audio AI use cases in healthcare as well. So, it could be an additional layer of monitoring solution for early warning systems that offer incredible value for industry by reducing downtime and saving both human lives and extensive repair costs. For instance, AI could analyse a motor’s sound and predict a malfunction before it occurs – learning from subtle deviations in noise signatures. Predictive maintenance in industrial settings is an example where AI can be impactful by augmenting existing sensing capabilities. In these two classes of audio signals, AI could be integrated as a value-added feature in building technology solutions, particularly in the context of physical safety and security, e.g., by detecting and localising “interesting” events. Did a security door latch properly when it was closed? Does the fan on a cooling unit in a nuclear power plant sound like it is about to malfunction? Does a person scream in terror? The ability to detect panic in a person’s voice or a cry for help could make the difference in an emergency. Both environmental and machine audio are the result of physical events of interest that can be interpreted for practical use. 8.1Predictive maintenanceīesides human speech, we can characterize a wide range of audio signals, including: (1) music (2) environmental audio such as a car passing by, a door closing, a gun shooting or a human screaming (3) machine audio originated from electronic, electrical, or mechanical machines. AI algorithms can come to our rescue as they are powerful tools in understanding audio patterns. So far, however, they lack the ability to manage sound the way humans do. Audio gives us an electrical representation of sounds, and sometimes we are tempted to think that modern sensors may handle sound better than humans. Think of the human response to a dangerous sound such as a lion’s roar in the wild, or to the noise of a fast truck coming our way in a trafficked road, or to the soothing tone of a gentle lullaby. The perception of different sounds is an important part of the human experience and can trigger a wide range of reactions. Possible risks to plan for: Audio AI needs high quality data Ambisonic sound can also be post processed for binaural sound playback.Audio preservation and preparing for the (AI) future Importantly ambisonic recordings can be post processed to allow the listener to rotate up and down and around the sound, making it ideal for capturing sounds where the listener may have control over their viewing angle. An ambisonic mic is usually 4 microphones (or more) inside one unit - and can be thought of as the parallel to the 360degree cameras which consist of multiple cameras capturing different directions. Binaural sound produces as immersive an aural experience as the VR can provide a visual experience.Īmbisonic sound is another means of capturing sound in a more flexible format than conventional types of microphones allow. These can be useful if you're trying to create something that you can't easily record in real life, or perhaps doesn't exist at all!īinaural sound is proving a very useful counterpart to VR and 360 degree experiences. You can also post-produce binaural sound, using simple binaural panners or game audio engines, which can provide convincing effects of the real thing. ![]()
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