http://iet.metastore.ingenta.com
1887

access icon openaccess Pitch tracking algorithm based on evolutionary computing with regularisation in very low SNR

  • HTML
    161.5986328125Kb
  • PDF
    1.2989330291748047MB
  • XML
    114.1904296875Kb
Loading full text...

Full text loading...

/deliver/fulltext/joe/2018/16/JOE.2018.8290.html;jsessionid=3plousdflk54.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fjoe.2018.8290&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Ramakrishnan, A.G., Abhiram, B., Mahadeva Prasanna, S.R.: ‘Voice source characterization using pitch synchronous discrete cosine transform for speaker identification’, J. Acoust. Soc. Am., 2015, 137, (6), pp. 469475.
    2. 2)
      • 2. Wohlmayr, M., Pernkopf, F.: ‘Model-based multiple pitch tracking using factorial HMMs: model adaptation and inference’, IEEE Trans. Audio, Speech, Lang. Process., 2013, 21, (8), pp. 17421754.
    3. 3)
      • 3. Han, K., Wang, D.L.: ‘A classification based approach to speech segregation’, J. Acoust. Soc. Am., 2012, 132, (5), pp. 34753483.
    4. 4)
      • 4. Rao, K.S., Maity, S., Reddy, VR.: ‘Pitch synchronous and glottal closure based speech analysis for language recognition’, Int. J. Speech Technol., 2013, 16, (4), pp. 413430.
    5. 5)
      • 5. Sharma, D., Naylor, P.A.: ‘Evaluation of pitch estimation in noisy speech for application in non-intrusive speech quality assessment’. Proc. Eur. Signal Processing Conf. (EUSIPCO), Glasgow, UK, August 2009.
    6. 6)
      • 6. Shimamura, T., Kobayashi, H.: ‘Weighted autocorrelation for pitch extraction of noisy speech’, IEEE Trans. Speech Audio Process., 2001, 9, (7), pp. 727730.
    7. 7)
      • 7. Shahnaz, C., Zhu, W.-P., Ahmad, M.O.: ‘Robust pitch estimation at very low SNR exploiting time and frequency domain cues’. Proc. IEEE Int. Conf. Acoustical, Speech, Signal Processing (ICASSP), Philadelphia, PA, 2005, vol. 1, pp. 389392.
    8. 8)
      • 8. Shahnaz, C., Zhu, W.-P., Ahmad, M.O.: ‘A robust pitch estimation algorithm in noise’. Proc. IEEE Int. Conf. Acoustical, Speech, Signal Processing (ICASSP), Honolulu, HI, 2007, vol. 4, pp. 10731076.
    9. 9)
      • 9. Wu, M., Wang, D.L., Brown, G.J.: ‘A multipitch tracking algorithm for noisy speech’, Trans. Speech Audio Process., 2003, 11, (3), pp. 229241.
    10. 10)
      • 10. Han, K., Wang, D.L.: ‘Neural network based pitch tracking in very noisy speech’, IEEE Trans. Audio, Speech Lang. Process., 2014, 22, (12), pp. 21582168.
    11. 11)
      • 11. Gosain, A., Sharma, G.: ‘A survey of dynamic program analysis techniques and tools’, Adv. Intell. Syst. Comput., 2014, 327, pp. 113122.
    12. 12)
      • 12. Jin, Z., Wang, D.L.: ‘HMM-based multipitch tracing for noisy and reverberant speech’, IEEE/ACM Trans. Audio, Speech Lang. Process., 2011, 19, (5), pp. 10911102.
    13. 13)
      • 13. Gonzalez, S., Brookes, M.: ‘PEFAC-A pitch estimation algorithm robust to high levels of noise’, IEEE/ACM Trans. Audio, Speech Lang. Process., 2014, 22, (2), pp. 518530.
    14. 14)
      • 14. Talkin, D.: ‘A robust algorithm for pitch tracking (RAPT)’, in Kleijin, W.B., Paliwal, K.K., (Eds.): ‘Speech coding and synthesis’ (Elsevier, Amsterdam, The Netherlands, 1995), pp. 495518.
    15. 15)
      • 15. de Chevegne, A., Kawahara, H.: ‘YIN, a fundamental frequency estimator for speech and music’, J. Acoust. Soc. Am., 2002, 111, (4), pp. 19171930.
    16. 16)
      • 16. Shahnaz, C., Zhu, W.-P., Ahmad, M.O.: ‘Pitch estimation based on a harmonic sinusoidal autocorrelation model and a time-domain matching scheme’, IEEE Trans. Audio, Speech Lang. Process., 2012, 20, (1), pp. 322335.
    17. 17)
      • 17. Huang, F., Lee, T.: ‘Pitch estimation in noisy speech using accumulated peak spectrum and sparse estimation technique’, IEEE Trans. Audio, Speech Lang. Process., 2013, 21, (1), pp. 99109.
    18. 18)
      • 18. McLachlan, G., Peel, D.: ‘Finite mixture models’ (Wiley-Blackwell, New York, NY, USA, November 2000).
    19. 19)
      • 19. Kennedy, J., Eberhart, R.C.: ‘Particle swarm optimization’. Proc. of IEEE Int. Conf. on Neural Networks, Piscat away, NJ, 1995, pp. 19421948.
    20. 20)
      • 20. Parsopoulos, K.E., Vrahat, I.N.: ‘On the computation of all global minimizers through particle swarm optimization’, IEEE Trans. Evol. Comput., 2004, 8, (3), pp. 211224.
    21. 21)
      • 21. Holland, J.H.: ‘Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence’ (MIT Press, Cambridge, 1992, 2nd edn.).
    22. 22)
      • 22. He, Y.-H., Hui, C.-W.: ‘A binary coding genetic algorithm for multi-purpose process scheduling: a case study’, Chem. Eng. Sci., 2010, 65, (16), pp. 48164828.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8290
Loading

Related content

content/journals/10.1049/joe.2018.8290
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address