P. P. Patwardhan and R. R. Shenoy, “Detection of Sinusoids Using Statistical Goodness-of-Fit Test,” in Proc. AES Convention 134, May 2013, pp. 8854:1-. [Online]. Available: https://aes.org/publications/elibrary-page/?id=16755
Patwardhan PP, Shenoy RR. Detection of Sinusoids Using Statistical Goodness-of-Fit Test. In: AES Convention 134. Audio Engineering Society; 2013.pp. 8854:1-. Available from: https://aes.org/publications/elibrary-page/?id=16755
@inproceedings{Patwardhan2013_16755,
author = {Patwardhan, Pushkar P. and Shenoy, Ravi R.},
title = {{Detection of Sinusoids Using Statistical Goodness-of-Fit Test}},
booktitle = {AES Convention 134},
pages = {8854:1-},
year = {2013},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=16755}
}
TY - CPAPER
TI - Detection of Sinusoids Using Statistical Goodness-of-Fit Test
AU - Patwardhan, Pushkar P.
AU - Shenoy, Ravi R.
T2 - AES Convention 134
SP - 1
M1 - Paper 8854
PY - 2013
DA - 2013/05/06
UR - https://aes.org/publications/elibrary-page/?id=16755
PB - Audio Engineering Society
LA - en
AB - Detection of tonal components from magnitude spectrum is an important initial step in several speech and audio processing applications. In this paper we present an approach for detecting sinusoidal components from the magnitude spectrum using “goodness-of-fit” test. The key idea is to test the null-hypothesis that the region of spectrum under observation is drawn from the magnitude spectrum of an ideal windowed-sinusoid. This hypothesis is tested with a chi-square “goodness-of-fit” test. The outcome of this hypothesis test is a decision about the presence of sinusoid in the observed region of magnitude spectrum. We have evaluated the performance of the proposed approach using synthetically generated samples containing steady and modulated harmonics in clean and noisy conditions.
ER -