J. G. Studniarz and R. C. Maher, “Sound Identification from MPEG-Encoded Audio Files,” in Proc. AES Convention 135, Oct. 2013, Paper 8984. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17032
Studniarz JG, Maher RC. Sound Identification from MPEG-Encoded Audio Files. In: AES Convention 135. Audio Engineering Society; 2013. Paper 8984. Available from: https://aes.org/publications/elibrary-page/?id=17032
@inproceedings{Studniarz2013_17032,
author = {Studniarz, Joseph G. and Maher, Robert C.},
title = {{Sound Identification from MPEG-Encoded Audio Files}},
booktitle = {AES Convention 135},
note = {Paper 8984},
year = {2013},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17032}
}
TY - CPAPER
TI - Sound Identification from MPEG-Encoded Audio Files
AU - Studniarz, Joseph G.
AU - Maher, Robert C.
T2 - AES Convention 135
M1 - Paper 8984
PY - 2013
DA - 2013/10/06
UR - https://aes.org/publications/elibrary-page/?id=17032
PB - Audio Engineering Society
LA - en
AB - 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.
ER -