TY - GEN
T1 - A low-complexity loudness estimation algorithm
AU - Krishnamoorthi, Harish
AU - Berisha, Visar
AU - Spanias, Andreas
PY - 2008/9/16
Y1 - 2008/9/16
N2 - Audio processing applications such as rate determination, bandwidth extension, compression, and noise reduction make use of loudness metrics. Most loudness estimation algorithms are computationally expensive and often not suitable for real time applications. In this paper, we present a low-complexity loudness estimation algorithm applicable to both steady and time-varying sounds. The model computes an estimate of the excitation pattern by simultaneously pruning the frequency components and detector locations. Comparative results indicate that the proposed algorithm performs consistently well for different types of audio signals at a reduced complexity.
AB - Audio processing applications such as rate determination, bandwidth extension, compression, and noise reduction make use of loudness metrics. Most loudness estimation algorithms are computationally expensive and often not suitable for real time applications. In this paper, we present a low-complexity loudness estimation algorithm applicable to both steady and time-varying sounds. The model computes an estimate of the excitation pattern by simultaneously pruning the frequency components and detector locations. Comparative results indicate that the proposed algorithm performs consistently well for different types of audio signals at a reduced complexity.
KW - Audio coding
KW - Loudness
KW - Psychoacoustics
UR - http://www.scopus.com/inward/record.url?scp=51449113397&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51449113397&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2008.4517621
DO - 10.1109/ICASSP.2008.4517621
M3 - Conference contribution
AN - SCOPUS:51449113397
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 361
EP - 364
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -