The enormous growth of digital music databases has led to a comparable growth in the need for methods that help users organize and access such information. One area in particular that has seen much recent research activity is the use of automated techniques to describe audio content and to allow its identification, browsing and retrieval. This paper presents algorithms for audio content analysis, description and identification that are developed and implemented in the context of the AXMEDIS project.