This typically results in high-level metadata descriptors such as musical chords and tempo, or the identification of the individual speaking, to facilitate content-based management of audio recordings.
In recent years, the growth of automatic data analysis techniques has grown considerably, With the development of applications that use this semantic information to support the user in identifying, organising, and exploring audio signals, and interacting with them.
Recent product releases already demonstrate this to a great extent, however, more innovative functionalities relying on semantic audio analysis and management are imminent.
[1] This noise-canceling headphone technology use real-time neural networks to let users opt back in to certain sounds they’d like to hear, such as babies crying, birds tweeting, or alarms ringing.
This could benefit people who require focused listening for their job, such as health-care, military, and engineering professionals, or for factory or construction workers as well as for designing intelligent hearing aids.