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Numerous methods have been proposed for searching and analyzing long-term audio recordings for specific sound sources. It is increasingly common that audio recordings are archived using perceptual compression, such as MPEG-1 Layer 3 (MP3). Rather than performing sound identification upon the reconstructed time waveform after decoding, we operate on the undecoded MP3 audio data as a way to improve processing speed and efficiency. The compressed audio format is only partially processed using the initial bitstream unpacking of a standard decoder, but then the sound identification is performed directly using the frequency spectrum represented by each MP3 data frame. Practical uses are demonstrated for identifying anthropogenic sounds within a natural soundscape recording.
Author (s): Studniarz, Joseph G.; Maher, Robert C.
Affiliation:
Montana State University, Bozeman, MT, USA
(See document for exact affiliation information.)
AES Convention: 135
Paper Number:8984
Publication Date:
2013-10-06
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Session subject:
Applications in Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=17032
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Studniarz, Joseph G.; Maher, Robert C.; 2013; Sound Identification from MPEG-Encoded Audio Files [PDF]; Montana State University, Bozeman, MT, USA; Paper 8984; Available from: https://aes2.org/publications/elibrary-page/?id=17032
Studniarz, Joseph G.; Maher, Robert C.; Sound Identification from MPEG-Encoded Audio Files [PDF]; Montana State University, Bozeman, MT, USA; Paper 8984; 2013 Available: https://aes2.org/publications/elibrary-page/?id=17032