Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2740

Full Length Research Paper

Voice onset/offset based local features (VOOLF) for Arabic Speaker recognition

Awais Mahmood
  • Awais Mahmood
  • Speech Processing Laboratory, Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
  • Google Scholar
Mansour Alsulaiman
  • Mansour Alsulaiman
  • Speech Processing Laboratory, Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
  • Google Scholar


  •  Received: 14 November 2012
  •  Accepted: 16 July 2013
  •  Published: 18 October 2013

References

Alsulaiman M, Alotaibi Y, Mahmood A, Bencherif MA (2009). Survey of Arabic Speaker Recognition. Research report, College of Computer and Information Sciences, King Saud University, Saudi Arabia, 2009.
 
Alsulaiman M, Alotaibi Y, Ghulam M, Bencherif MA, Mahmoud A (2010). Arabic speaker recognition: Babylon levantine subset case study. J. Comput. Sci. 6:381-385. 
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Altınçay H, Demirekler M (2002). "Why Does Output Normalization Create Problems in Multiple Classifier Systems?". Proceedings of CPR2002, 16th International Conference on Pattern Recognition, August 2002, Quebec, Canada.
 
Anusuya MA, Katti SK (2011). "Front end analysis of speech recognition: a review", Int. J. Speech Technol. 14:99-145.
Crossref
 
Fukuda T, Nitta T (2003). A Study on Japanese Distinctive Phonetic Feature Set for Robust Speech Recognition. The 2003 Autumn Meeting of The Acoust. Soc. Japan, September 2003, in Japanese. 1(1-6-5):9-10
 
Takashi F, Tsuneo N (2004). Orthogonalized Distinctive Phonetic Feature Extraction for Noise-robust Automatic Speech Recognition. IEICE Trans. Info. Syst. E87-D(5):1110-1118.
 
Hassan F, Mohammed RAK, Md. Mostafizur R, Mohammad N, Md. Abdul L, Mohammad NH (2011). Local Feature or Mel Frequency Cepstral Coefficients - Which One is Better for MLN-Based Bangla Speech Recognition?, Springer-Verlag Berlin, pp. 154-161.
 
Jayanna HS, Mahadeva PSR (2009)." Analysis, Feature Extraction, Modeling and Testing Techniques for Speaker Recognition." IETE Techn. Rev. 26(3):181-190.
Crossref
 
Lawson AD, Pavel V, Mark CH, Paul AA, Brandon B, Allen RS (2011). "Survey And Evaluation Of Acoustic Features For Speaker Recognition", ICASSP 2011, Prague, Czech Republic, pp. 5444-5447
 
Mahmood A, Alsulaiman M, Muhammad G (2012). Multidirectional Local Features for Speaker Recognition. ISMS 2012, February 2012, Kota Kinabalu, Malaysia.
 
Nitta T (1998). A novel feature-extraction for speech recognition based on multiple acoustic-feature planes. Proc. IEEE ICASSP'98 1:29-32.
 
Nitta T (1999). Feature extraction for speech recognition based on orthogonal acoustic-feature planes and LDA. Proc. IEEE ICASSP'99 1:421-424.
 
Reynolds D (1995). "Large population speaker identification using clean and telephone speech," Mar. IEEE Sig. Process. Lett. 2:46-48,
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Reynolds DA, Quatieri TF, Dunn R (2000). "Speaker verification using adapted Gaussian mixture models," Digital Sig. Process. 10(1-3):19-41.
Crossref
 
Sumithra MG, Thanuskodi K, Archana AHJ (2011). A New Speaker Recognition System with Combined Feature Extraction Techniques. J. Comput. Sci. 7(4):459-465
Crossref
 
Wildermoth B, Paliwal KK (2000). Use of Voicing and Pitch Information for Speaker Recognition. Proceedings of Australian International Conference on Speech Science and Technology (SST-2000), Canberra, Australia, pp. 324-328.