TY - GEN
T1 - Sinusoidal component selection based on partial loudness criteria
AU - Krishnamoorthi, Harish
AU - Spanias, Andreas
PY - 2013/10/18
Y1 - 2013/10/18
N2 - Sinusoidal models are widely used in parametric speech and audio coding schemes. A common requirement in these applications is to select only a subset of components that provide the greatest perceptual benefit particularly at low bitrates. Usually, perceptual sinusoidal component selection algorithms make use of greedy algorithms that are computationally expensive. In this paper, we present a new algorithm that selects sinusoidal components based on the partial loudness model proposed by Moore & Glasberg. We compare the performance of the proposed algorithm in terms of perceptual benefit and computational complexity to other existing sinusoidal selection algorithms.
AB - Sinusoidal models are widely used in parametric speech and audio coding schemes. A common requirement in these applications is to select only a subset of components that provide the greatest perceptual benefit particularly at low bitrates. Usually, perceptual sinusoidal component selection algorithms make use of greedy algorithms that are computationally expensive. In this paper, we present a new algorithm that selects sinusoidal components based on the partial loudness model proposed by Moore & Glasberg. We compare the performance of the proposed algorithm in terms of perceptual benefit and computational complexity to other existing sinusoidal selection algorithms.
KW - audio coding
KW - auditory patterns
KW - loudness
KW - parametric audio coding
KW - sinusoidal models
UR - http://www.scopus.com/inward/record.url?scp=84890499459&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890499459&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6637713
DO - 10.1109/ICASSP.2013.6637713
M3 - Conference contribution
AN - SCOPUS:84890499459
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 575
EP - 579
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -