References

Abdulla, W.H., 2002. Auditory based Feature Vectors for Speech Recognition Systems. In: Advances in Communications and Software Technologies, Mastorakis, N.E. and V.V. Kluev (Eds.). WSEAS Press, Saskatchewan, Canada, pp: 231-236.

Ajgou, R., S. Sbaa, S. Ghendir, A. Chamsa and A. Talebahmed, 2014. Novel detection algorithm of speech activity and the impact of speech codecs on remote speaker recognition system. WSEAS. Trans. Signal Process., 10: 309-319.
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Bae, S.G. and M.J. Bae, 2016. Reducing errors of judgement of intoxication in overloaded speech signal. Intl. J. Eng. Technol., 8: 219-224.
Direct Link  |  

Baek, G. and M. Bae, 2013. A study on voice sobriety test algorithm in a time-frequency domain. Intl. J. Multimedia Ubiquitous Eng., 8: 395-402.
Direct Link  |  

Jung, C.J., S.G. Bae, M.S. Kim and M.J. Bae, 2013. Speech sobriety test based on formant energy distribution. Intl. J. Multimedia Ubiquitous Eng., 8: 209-216.
CrossRef  |  Direct Link  |  

Kyon, D.H. and M.J. Bae, 2012. Analysis of voice energy after drinking. Acoust. Soc. Korea Signal Process. Conf., 29: 105-106.