Abstract
In general, added noise in clean signal reduces intelligibility and degrades the performance of speech processing algorithms used for the applications such as speech compression and recognition. In this paper, a new voice clarity enhancing method using a dissonant frequency filtering (DFF) (especially C # and F # in each octave band when reference frequency is C) combined with noise suppression (NS) is proposed. The proposed method targets for speakers whose intelligibility became worse than normal under both noisy and noiseless environments.
The test results indicate that the proposed method provides a significant audible improvement for speakers whose intelligibility is impaired and especially for the speech contaminated by the colored noise. Therefore when the filter is employed as a pre-filter for enhancing the clarity of husky voice where several types of noises are also exploited, the output speech quality and clarity can be greatly enhanced.
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References
Boll, S.F.: Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust., Speech, Signal Processing ASSP-29, 113–120 (1979)
Lim, J.S., Oppenheim, A.V.: All-pole modeling of degraded speech. IEEE Trans. Acoust., Speech, Signal Processing ASSP-26, 197–210 (1978)
Hansen, J., Clements, M.: Constrained iterative speech enhancement with application to speech recognition. IEEE Trans. Acoust., Speech, Signal Processing ASSP-39(4), 21–27 (1991)
Samber, M.R.: Adaptive noise canceling for speech signals. IEEE Trans. Acoust., Speech, Signal Processing ASSP-26, 419–423 (1978)
Lim, J.S., Oppenheim, A.V., Braida, L.D.: Evaluation of an adaptive comb filtering method for enhancing speech degraded by white noise addition. IEEE Trans. Acoust., Speech, Signal Processing ASSP-26(4), 354–358 (1991)
Boll, S.F., Pulsipher, D.C.: Suppression of acoustic noise in speech using two microphone adaptive noise cancelation. IEEE Trans. Acoust., Speech, Signal Processing ASSP-28(6), 752–753 (1980)
Ephraim, Y.: Statistical-model-based speech enhancement systems. Proc. of IEEE 80(10), 1526–1555 (1992)
Hee-Suk, P., SeongJoon, B., Koeng-Mo, S.: Improved fundamental frequency estimation using parametric cubic convolution. IEICE Trans. Fundamentals E83-A(12), 2747–2750 (2000)
TIA/EIA/IS-127: Enhanced variable rate codec, speech service option 3 for wideband spread spectrum digital systems (1997)
Tennenbaum, J.: The foundations of scientific Musical Tunning. FIDELIO Magazine 1(1) (1991–1992)
Howard, D.M., Angus, J.: Acoustics and Psychoacoustics. Focal Press (1996)
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Kang, S., Kim, Y. (2006). A Dissonant Frequency Filtering for Enhanced Clarity of Husky Voice Signals. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_65
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DOI: https://doi.org/10.1007/11846406_65
Publisher Name: Springer, Berlin, Heidelberg
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