![]() Facilities are therefore looking for ways to work faster and in a more cost-efficient manner when it comes to mixing audio material. With so much content being created for Over-The-Top (OTT) services such as Netflix and Amazon Prime, the number of audio files to work with in post-production is dramatically increasing. By analysing data and learning from previous tracks, AI-powered tools for assisted mastering enable musicians with a small budget to easily achieve professional-level results (albeit, ultimately, without the finesse of a human expert). AI is proving to be a viable and egalitarian choice for many musicians. All these options make mastering extremely challenging and potentially costly. Today, one of the main goals of modern mastering is to make the listening experience consistent across all formats and platforms (from low rate mp3 files rendered by inexpensive earphones to high-resolution audio reproduced with sophisticated sound systems), with a wide range of loudness constraints. 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 ![]() Audio preservation and preparing for the (AI) future ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |