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Automatic speech signal segmentation based on the innovation adaptive filter

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Signals and Systems (special section, pp. 233-312), Ryszard Makowski and Jan Zarzycki (Eds.)

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Almpanidis, G. and Kotropoulos, C. (2007). Phonetic segmentation using the generalized Gamma distribution and small sample Bayesian information criterion, Speech Communication50(1): 38–55.10.1016/j.specom.2007.06.005Search in Google Scholar

Almpanidis, G., Kotti, M. and Kotropoulos, C. (2009). Robust detection of phone boundaries using model selection criteria with few observations, IEEE Transactions on Audio, Speech, and Signal Processing17(2): 287–298.10.1109/TASL.2008.2009162Search in Google Scholar

Barkat, M. (1991). Signal Detection and Estimation, Artech House, Boston, MA.Search in Google Scholar

Brandt, A.V. (1983). Detecting and estimating the parameters jumps using ladder algorithms and likelihood ratio test, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Boston, MA, USA, pp. 1017–1020.Search in Google Scholar

Brugnara, F., Falavinga, D. and Omolongo, M. (1993). Automatic segmentation and labeling of speech based on hidden Markov models, Speech Communication12(4): 357–370.10.1016/0167-6393(93)90083-WSearch in Google Scholar

Delacourt, P. and Wellekens, C.J. (2000). DISTBIC: A speaker-based segmentation for audio data indexing, Speech Communication32(1–2): 111–126.10.1016/S0167-6393(00)00027-3Search in Google Scholar

Gomez, J.A. and Calvo, M. (2011). Improvements on automatic speech segmentation at the phonetic level, in C. San Martin and S.-W. Kim (Eds.), CIARP 2011, Lecture Notes in Computer Science, Vol. 7042, Springer-Verlag, Berlin/Heidelberg, pp. 557–564.10.1007/978-3-642-25085-9_66Search in Google Scholar

Haykin, S. (1996). Adaptive Filter Theory, Prentice-Hall, Englewood Cliffs, NJ.Search in Google Scholar

Jamouli, H., Al Hail, M.A. and Sauter, D. (2012). A mixed active and passive GLR test for a fault tolerant control system, International Journal of Applied Mathematics and Computer Science22(1): 9–23, DOI: 10.2478/v10006-012-0001-1.10.2478/v10006-012-0001-1Search in Google Scholar

Kay, S.M. (1988). Modern Spectral Estimation, Prentice-Hall, Englewood Cliffs, NJ.Search in Google Scholar

Kay, S.M. (1998). Fundamentals of Statistical Signal Processing, Vol. II: Detection Theory, Prentice-Hall, Englewood Clifft, NJ.Search in Google Scholar

Kroon, P. and Deprettere, E.F. (1988). A class of analysis-by-synthesis predictive coders for high quality speech coding at rates between 4.8 and 16 kbits/s, IEEE Journal on Selected Areas in Communications6(2): 353–363.Search in Google Scholar

Lee, D.T.L., Morf, M. and Friedlander, B. (1981). Recursive least squares ladder estimation algorithms, IEEE Transactions on Circuits and Systems28(6): 627–641.10.1109/TASSP.1981.1163587Search in Google Scholar

Lopatka, M., Adam, O., Laplanche, C., Zarzycki, J. and Motsch, J-F. (2005). Effective analysis of non-stationary short-time signals based on the adaptive Schur filter, IEEE/SP 13th Workshop on Statistical Signal Processing, Bordeaux, France, pp. 251–256.Search in Google Scholar

Lopatka, M., Adam, O., Laplanche, C., Motsch, J-F. and Zarzycki, J. (2006). Sperm whale click analysis using a recursive time-variant lattice filter, Applied Acoustics67(11–12): 1118–1133.10.1016/j.apacoust.2006.05.011Search in Google Scholar

Makowski, R. and Zimroz, R. (2013). A procedure for weighted summation of the derivatives of reflection coefficients in adaptive Schur filter with application to fault detection in rolling element bearings, Mechanical Systems and Signal Processing38(1): 65–77.10.1016/j.ymssp.2012.05.005Search in Google Scholar

Mporas, I., Ganchev, T. and Fakotakis, N. (2008). Phonetic segmentation using multiple speech features, International Journal of Speech Technology11(1): 73–85.10.1007/s10772-009-9038-4Search in Google Scholar

Park, S.S. and Kim, N.S. (2007). On using multiple models for automatic speech segmentation, IEEE Transactions on Audio, Speech, and Language Processing15(8): 2202–2212.10.1109/TASL.2007.903933Search in Google Scholar

Prasad, V.K., Nagarajan, T. and Murthy, H.A. (2004). Automatic segmentation of continuous speech using minimum phase delay functions, Speech Communication42(3–4): 429–446.10.1016/j.specom.2003.12.002Search in Google Scholar

Puig, V. (2010). Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies, International Journal of Applied Mathematics and Computer Science20(4): 619–635, DOI: 10.2478/v10006-010-0046-y.10.2478/v10006-010-0046-ySearch in Google Scholar

Rabiner, L. and Gold, B. (1975). Theory and Application of Digital Signal Processing, Prentice-Hall, Englewood Cliffs, NJ.Search in Google Scholar

Rabiner, L. and Juang, B-H. (1993). Fundamentals of Speech Recognition, Prentice-Hall, Englewood Cliffs, NJ.Search in Google Scholar

Rudoy, D., Quatieri, T.F. and Wolfe, P.J. (2011). Time-varying autoregressions in speech: Detection theory and applications, IEEE Transaction on Audio, Speech, and Language Processing19(4): 977–989.10.1109/TASL.2010.2073704Search in Google Scholar

Scharenborg, O., Wan, V. and Ernestus, M. (2010). Unsupervised speech segmentation: An analysis of the hypothesized phone boundaries, Journal of Acoustical Society of America127(2): 1084–1095.10.1121/1.327719420136229Search in Google Scholar

Schwarz, P., Matejka, P. and Cernocky, J. (2006). Hierarchical structures of neural networks for phoneme recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, Vol. 1, pp. 325–328.Search in Google Scholar

Sharma, M. and Mammone, R. (1996). Blind speech segmentation: Automatic segmentation of speech without linguistic knowledge, Proceedings of the International Conference on Spoken Language Processing, Philadelphia, PA, USA, pp. 1237–1240.Search in Google Scholar

Toledano, D.T., Hernandez Gomez, L.A. and Villarrubia Grande, L. (2003) Automatic phonetic segmentation, IEEE Transactions on Speech and Audio Processing11(6): 617–625.10.1109/TSA.2003.813579Search in Google Scholar

Tyagi, V., Bourlard, H. and Wellekens, C. (2006). On variable-scale piecewise stationary analysis of speech signals for ASR, Speech Communication48(9): 1182–1191.10.1016/j.specom.2006.04.002Search in Google Scholar

eISSN:
2083-8492
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Mathematics, Applied Mathematics