Nondestructive characterization and artificial intelligence recognition of acoustic identifiers of ancient ceramics

Abstract

Abstract The identity management of cultural relics is the most basic and important content in their protection and exchange process. It is significant to provide a unique identifiable digital identity for ancient ceramics. At present, the identification information of ancient ceramics mainly consists of external visual features, there is urgent need for a feature identification information that can reflect the properties of cultural relics. Audible signal is rich in information, which not only has unique advantages in nondestructive testing, but also can be used as voiceprint information for identification, monitoring and analysis. In this paper, we took seven ancient ceramics as research objects, realized the construction of acoustic identifier (AID) and established a stable and reliable acoustic identification system of ancient ceramics. The acoustic identification model of ancient ceramics was established by using the artificial intelligence platform. This research has innovative significance for the establishment of digital encoding of ancient ceramics attribute and characteristic information, which can provide multiple practical applications of audio signal feature recognition technology in the display, protection, trading, identification and security management of ancient ceramics and other cultural relics.