文件名称:Content-based-Identification-of-Audio-Material-Us
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Along with investigating similarity metrics between audio
material, the topic of robust matching of pairs of audio content
has gained wide interest recently. In particular, if this matching
process is carried out using a compact representation of the audio
content ("audio fingerprint"), it is possible to identify unknown
audio material by means of matching it to a database with the
fingerprints of registered works. This paper presents a system for
reliable, fast and robust identification of audio material which can
be run on the resources provided by today s standard computing
platforms. The system is based on a general pattern recognition
paradigm and exploits low level signal features standardized
within the MPEG-7 fr a mework, thus enabling interoperability on
a world-wide scale.
material, the topic of robust matching of pairs of audio content
has gained wide interest recently. In particular, if this matching
process is carried out using a compact representation of the audio
content ("audio fingerprint"), it is possible to identify unknown
audio material by means of matching it to a database with the
fingerprints of registered works. This paper presents a system for
reliable, fast and robust identification of audio material which can
be run on the resources provided by today s standard computing
platforms. The system is based on a general pattern recognition
paradigm and exploits low level signal features standardized
within the MPEG-7 fr a mework, thus enabling interoperability on
a world-wide scale.
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Content-based Identification of Audio Material Using.pdf