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Soft Computing Techniques for Classification of Voiced/Unvoiced Phonemes


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Abstract

A method that uses fuzzy logic to classify two simple speech features for the automatic classification of voiced and unvoiced phonemes is proposed. In addition, two variants, in which soft computing techniques are used to enhance the performance of fuzzy logic by tuning the parameters of the membership functions, are also presented. The three methods, manually constructed fuzzy logic (VUFL), fuzzy logic optimized with genetic algorithm (VUFL-GA), and fuzzy logic with optimized particle swarm optimization (VUFL-PSO), are implemented and then evaluated using the TIMIT speech corpus. Performance is evaluated using the TIMIT database in both clean and noisy environments. Four different noise types from the AURORA database—babble, white, restaurant, and car noise—at six different signal-to-noise ratios (SNRs) are used. In all cases, the optimized fuzzy logic methods (VUFL-GA and VUFL-PSO) outperformed manual fuzzy logic (VUFL). The proposed method and variants are suitable for applications featuring the presence of highly noisy environments. In addition, classification accuracy by gender is also studied.


Keywords


Pages

Total Pages: 8
Pages: 267-274

DOI
10.1080/10798587.2017.1278961


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Published

Volume: 24
Issue: 2
Year: 2018

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References

Algabri, Mohammed et al. "Comparative Study of Soft Computing Techniques for Mobile Robot Navigation in an Unknown Environment." Computers in Human Behavior 50 (2015): 42-56. Crossref. Web. https://doi.org/10.1016/j.chb.2015.03.062

Beritelli F. EURASIP Journal on Audio, Speech, and Music Processing https://doi.org/10.1155/2009/965436

Deekshitha G. International Journal on Soft Computing (IJSC)

Dhananjaya, N., and B. Yegnanarayana. "Voiced/Nonvoiced Detection Based on Robustness of Voiced Epochs." IEEE Signal Processing Letters 17.3 (2010): 273-276. Crossref. Web. https://doi.org/10.1109/LSP.2009.2038507

Driaunys K. Information Technology and Control 38.4 (2015)

Faycal Y. International Arab Journal of Information Technology

Fisher, E., J. Tabrikian, and S. Dubnov. "Generalized Likelihood Ratio Test for Voiced-Unvoiced Decision in Noisy Speech Using the Harmonic Model." IEEE Transactions on Audio, Speech and Language Processing 14.2 (2006): 502-510. Crossref. Web. https://doi.org/10.1109/TSA.2005.857806

Herrera, F., M. Lozano, and J.L. Verdegay. "Tuning Fuzzy Logic Controllers by Genetic Algorithms." International Journal of Approximate Reasoning 12.3-4 (1995): 299-315. Crossref. Web. https://doi.org/10.1016/0888-613X(94)00033-Y

Huang X. Spoken language processing: A guide to theory, algorithm, and system development

Lipowski, Adam, and Dorota Lipowska. "Roulette-Wheel Selection via Stochastic Acceptance." Physica A: Statistical Mechanics and its Applications 391.6 (2012): 2193-2196. Crossref. Web. https://doi.org/10.1016/j.physa.2011.12.004

Panagiotakis, C., and G. Tziritas. "A Speech/music Discriminator Based on RMS and Zero-Crossings." IEEE Transactions on Multimedia 7.1 (2005): 155-166. Crossref. Web. https://doi.org/10.1109/TMM.2004.840604

Rabiner L. Theory and applications of digital speech processing

Sahu, P.K. et al. "Auditory ERB Like Admissible Wavelet Packet Features for TIMIT Phoneme Recognition." Engineering Science and Technology, an International Journal 17.3 (2014): 145-151. Crossref. Web. https://doi.org/10.1016/j.jestch.2014.04.004

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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