Streaming Audio Using MPEG–7 Audio Spectrum Envelope to Enable Self-similarity within Polyphonic Audio
Abstract: The ability of
traditional packet level Forward Error Correction approaches can limit errors
for small sporadic network losses but when dropouts of large portions occur
listening quality becomes anissue. Services such as audio-on-demand drastically
increase the loads on networks therefore new, robust and highly efficient
coding algorithms are necessary. One method overlooked to date, which can work alongside
existing audio compression schemes, is that which takes account of the
semantics and natural repetition of music through meta-data tagging. Similarity
detection within polyphonic audio has presented problematic challenges within
the field of Music Information Retrieval. We present a system which works at
the content level thus rendering it applicable in existing streaming services.
Using the MPEG–7 Audio Spectrum Envelope (ASE) gives features for extraction
and combined with k-means clustering enables self-similarity to be performed
within polyphonic audio.
Keywords: MPEG–7, Music
Information Retrieval (MIR), packet loss, wireless networks, multimedia streaming
Author: Jonathan Doherty,
Kevin Curran, Paul McKevitt
Journal Code: jptkomputergg170141
