Research on Content-based Compressed Audio Classification System
Peng Liu · Computer and Modernization · 2007
This paper demonstrates the architecture of content-based compressed audio classification system,analyses several models of this system.The advantages of this system are fully exploiting the result of the encoder,taking account of the characteristic of human hearing system,which is the result of psychoacoustics research.In addition,this paper illustrates the meaning of the parameters,which are extracted from the compressed audio stream directly.At last,this paper verifies the validation of this method proposed by experiment.