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A neural system of phonematic transformation

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Języki publikacji
EN
Abstrakty
EN
A common task in speech processing for which neural networks are widely employed is text-to-phoneme conversion. In this paper we propose a novel solution to this problem by combining a multilayer neural network and a modular hybrid system that uses basic rules to subdivide the original problem into easier tasks which are then solved by dedicated neural networks. A hybrid solution can be more rapidly constructed than a single net solution, and is easily extendable. Input data representation is also discussed. A voting committee concept is used to enhance generalization abilities of the system. Efficiency of the proposed systems is compared.
Rocznik
Strony
115--13018
Opis fizyczny
18 poz., rys., tab.
Twórcy
  • Institute of Computer Science, Jagiellonian University, Nawojki 11, 30-072 Cracow, Poland
autor
  • Institute of Computer Science, Jagiellonian University, Nawojki 11, 30-072 Cracow, Poland
Bibliografia
  • [1] Digital Equipment Corporation, Maynard Mass,DECtalk DTC01 Owner’s Manual
  • [2] Allen J 1985 From Text to Speech: the MITalk System, Cambridge University Press
  • [3] Bolc L and Maksymienko M 1981 Text Processing Computer System, Warsaw UniversityPress, Poland (in Polish)
  • [4] Sejnowski A and Rosenberg C R 1986 Technical Report86/01, John Hopkins University,Department of Electrical Engineering and Computer Science, USA
  • [5] Bielecki A, Podolak I T, Wosiek J and Majkut E 1996 Acta Physica PolonicaB 27(9) 2253
  • [6] Podolak I T, Lee S -W, Bielecki A and Majkut E 2000 Proc. Int. Conf. on Pattern Recognition,Barcelona, Spain, Vol. 1, pp. 720–724
  • [7] Jakobson R and Halle M 1969 Language Foundations, PWN, Wroclaw (in Polish)
  • [8] Steffen-Batogowa M 1975 Automatisation of Polish Language Phonematic Transcription,PWN, Warsaw (in Polish)
  • [9] Karaś M and Madejowa M 1977 Polish Language Pronounciation Dictionary, PWN, Warsaw(in Polish)
  • [10] Duch W and Jankowski N 1999 Neural Computing Surveys2163,http://www.icsi.berkeley.edu/ ̃jagota/NCS
  • [11] Vapnik V 1998 Statistical Learning Theory, John Wiley and Sons
  • [12] Baum E B and Haussler D 1989 Neural Computation1(1) 3
  • [13] Podolak I T 1998 Problems of Data Representation in Layered Neural Networks, PhD Thesis,University of Mining and Metallurgy, Cracow, Poland (in Polish)
  • [14] Podolak I T 1998 Comput. Phys. Commun.117(1–2) 62
  • [15] Winston P H 1992 Artificial Intelligence, Addison Wesley
  • [16] Haykin S 1994 Neural Networks: A Comprehensive Foundation, Maxwell Macmillan
  • [17] McGarry K, Wermter K and McIntyre J 1999 Neural Computing Surveys262,http://www.icsi.berkeley.edu/ ̃jagota/NCS
  • [18] Bax E 1998Neural Computation10(4) 975
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0009-0037
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