Browse > Article
http://dx.doi.org/10.7776/ASK.2013.32.3.269

Restoration for Speech Records Managed by the National Archives of Korea  

Oh, Sejin (Yonsei University)
Kang, Hong-Goo (Yonsei University)
Abstract
The speech recording of the National Archives of Korea contains very important traces which represent modern times of Korea. But the way to be recorded by analogue is easily contaminated as time goes by. So it has to be digitalized for management and services. Consequently, restoration method of distorted speech is needed. We propose the four classes for each distortion kind and apply restoration algorithms for the cases of speech level, stationary noise and abrupt noise. As a result, speech volume adjusts to -26 dBov for only on the speech region and SNR improves above 10dB. Especially, conventional way to remove the noise is almost impossible because we need to listen to all of them but it can be more effective by adaptation of auto restoration algorithm.
Keywords
Speech signal processing; Archives; Noise; Stationary; Abrupt; Impulsive;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 iZotopeRX, audio repair toolkit http://www.izotope.com/ products/audio/rx/.
2 Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error log-spectral amplitude estimator," IEEE Trans. on Acoust., Speech and Signal Process. 33, 443-445 (1985).   DOI
3 I. Cohen and B. Berdugo, "Speech enhancement for nonstationary noise environments," Signal Process., 81, 2401-4218, (2001).
4 S. V. Vaseghi, Advanced digital signal processing and noise reduction, 2nd ed. (John Wiley & Sons, UK, 2000).
5 T. Kasparis and J. Lane, "Suppression of impulsive disturbances from audio signals," Electronics letters, 29, 1926-1927 (1993).   DOI   ScienceOn
6 A. J. Efron and H. Jeen, "Detection in impulsive noise based on robust whitening," IEEE Trans. on Signal Process.42, 1572-1576 (1994).   DOI   ScienceOn
7 S. R. Kim and A. Efron, "Adaptive robust impulse noise filtering," IEEE Trans. on Signal Process.43, 1855-1866 (1995).   DOI   ScienceOn
8 I. Kauppinen, "Methods for detecting impulsive noise in speech and audio signals," in Proc. IEEE Int Conf. on Digital Signal Process.2, 967-970 (2002).
9 T. F. Quatieri, Discrete-time speech signal processing, (Prentice Hall, New Jersey, 2001).
10 J. Beh, K. Kim and H. Ko, "Noise estimation for robust speech enhancement in transient noise environment," in Proc. KSCSP 2007, 24, 35-36 ( 2007).
11 ITU-T, ITU-T recommendation P. 56, ITU-T, 2011.
12 M. S. Kim, H. S. Sin, H. G. Kang, "Time-Frequency Domain Impulsive Noise Detection System in Speech Signal" (in Korean), J. Acoust. Soc. Kr. Suppl. 2(s) 30, 73-79 (2011).   과학기술학회마을   DOI   ScienceOn
13 ITU-T, ITU-T recommendation G. 729, ITU-T, 1996.
14 A. M. Kondoz, Digital speech-coding for low bit rate communication systems, (John wiley & sons, England, 1994).
15 M. Choi and H. Kang, "Transient noise reduction in speech signal with a modified long-term predictor," EURASIP Journal on Advances in Signal Processing (2011).
16 Y. G. Kim, H. J. Song, H. S. Kim, "Simultaneous Speaker and Environment Adaptation by Environment Clustering in Various Noise Environments" (in Korean), J. Acoust. Soc. Kr. Suppl. 6(s) 28, 566-571 (2009).   과학기술학회마을
17 Y. H. Son, Y. S. Park, H. S. Ahn, S. M. Lee, "An Improved Speech Absence Probability Estimation based on Environmental Noise Classification" (in Korean), J. Acoust. Soc. Kr. Suppl. 7(s) 30, 383-389 (2011).   과학기술학회마을   DOI   ScienceOn