  The Internet of Sounds (IoS) combines sound sensing, processing, and
transmission techniques, enabling collaboration among diverse sound devices. To
achieve perceptual quality of sound synchronization in the IoS, it is necessary
to precisely synchronize three critical factors: sound quality, timing, and
behavior control. However, conventional bit-oriented communication, which
focuses on bit reproduction, may not be able to fulfill these synchronization
requirements under dynamic channel conditions. One promising approach to
address the synchronization challenges of the IoS is through the use of
semantic communication (SC) that can capture and leverage the logical
relationships in its source data. Consequently, in this paper, we propose an
IoS-centric SC framework with a transceiver design. The designed encoder
extracts semantic information from diverse sources and transmits it to IoS
listeners. It can also distill important semantic information to reduce
transmission latency for timing synchronization. At the receiver's end, the
decoder employs context- and knowledge-based reasoning techniques to
reconstruct and integrate sounds, which achieves sound quality synchronization
across diverse communication environments. Moreover, by periodically sharing
knowledge, SC models of IoS devices can be updated to optimize their
synchronization behavior. Finally, we explore several open issues on
mathematical models, resource allocation, and cross-layer protocols.
