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Zur Messung der Leistungsfähigkeit von Sprach-erkennungssystemen

  • Conference paper
Mustererkennung 1986

Part of the book series: Informatik-Fachberichte ((2252,volume 125))

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Zusammenfassung

Benutzer und Hersteller von Systemen zur automatischen Spracherkennung benötigen eine gemeinsame Basis zur Definition und Messung der Leistungsfähigkeit solcher Systeme. Nur dann lassen sich die Erwartungen der Benutzer und die Möglichkeiten, welche die Systeme bieten können, annähernd in Einklang bringen.

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Literatur

  1. Lea, W.A.: What causes speech recognizers to make mistakes. Proc. of ICASSP 1982, Paris, pp. 2030-2033

    Google Scholar 

  2. Doddington, G.R., Schalk, T.B.: Speech recognition: Turning theory to practice. IEEE spectrum, Sept. 1981, pp. 26-32

    Google Scholar 

  3. Rabiner, L.R., Levinson, S.E.: Isolated and Connected Word Recognition — Theory and Selected Applications. IEEE Trans. Commun., OOM-29, (May 1981), pp.621–659

    Article  Google Scholar 

  4. Ney,H.: The Use of a One-Stage Dynamic Programming Algorithm for Connected Word Recognition, IEEE Trans, on Acoust., Speech and Signal Proc., ASSP-32, no.2, April 1984, pp.263–271

    Article  Google Scholar 

  5. Class, F., Katterfeldt, H.: Ein automatisches Lernverfahren mit dynamischer Zeitnormierung für sprecherabhängige Wortgruppenerkennung. NTG-Fachberichte, Bd. 94, 1986, S.43–48

    Google Scholar 

  6. Pallett, D.S.: Performance Assessment of Automatic Speech Recognizers. Journal of Res. Nat. Bureau of Standards, vol.90, no. 5, Sept./Oct. 1985, pp.371–387

    Google Scholar 

  7. Lea, W.A.: Selecting the Best Speech Recognizer for the Job. Speech Technology, Jan./Feb. 1983, pp. 10-29

    Google Scholar 

  8. Andrews, R.J.: Beyond Accuracy — Tools for Evaluating Performance of Speech Recognition Systems. Speech Technology, Aug./Sept. 1984, pp.84-88

    Google Scholar 

  9. Rubinchek, B.: Toward Standards for Speech I/O Systems. Speech Technology, Jan./Feb. 1983, 40-42

    Google Scholar 

  10. Pallett, D.S.,ed.: Proceedings of the Workshop on Standardization of Speech I/O-Technology. Nat. Bureau of Standards, Gaithersburg, Md., 1982

    Google Scholar 

  11. Baker, J.M., Pallett, D.S., Bridle J.S.: Speech Recognition Performance Assessments and Available Data Bases. Proc. of ICASSP 1983, Boston, pp.527-530

    Google Scholar 

  12. Carre, R., Descout, R., Eskenazi, M., Mariani, J., Rossi, M.: The French Language Database: Defining, Planning and Recording a large Database. Proc. of ICASSP 1984, Denver, pp.42.10.1-4

    Google Scholar 

  13. Deacon, J., et.al.: RSRE Speech Data Base Recordings 1983, Rep. 83010 Royal Signals and Radar Establishment, Dec. 1983

    Google Scholar 

  14. Peckham, J.B.: Speech Technology Assessment in the UK. Proc. of the Speech Tech 85, New York, pp. 165-169

    Google Scholar 

  15. Baker, J.M.: How to measure up: Testing speech recognisers. Proc. of the Workshop on Standardisation for Speech I/O-Technology. Nat. Bureau of Standards, Gaithersburg, 1982

    Google Scholar 

  16. Woodard, J.P., Im, W.A.: New Measures of Performance for Speech Recognition Systems. Proc. of ICASSP 1984, Denver, pp.9.6.1-4

    Google Scholar 

  17. Lee, Y., Silverman, H.F., Dixon, N.R.: Preliminary Results for an Operational Definition and Methodology for Predicting large Vocabulary DUR Confusability from Phonetic. Proc. of Icassp 1984, Denver, pp.26.2.1-4

    Google Scholar 

  18. Moore, R.K.: Evaluating Speech Recognizers. IEEE Trans. Acoust. Speech and Signal Proc., ASSP-25, no. 2, April 1977, pp. 178–183

    Article  Google Scholar 

  19. Clark, J., Collins, P., Lemerre, B.: A Formalization of Performance Specifications for discrete Utterance Recognition Systems. Proc. of Icassp 1981, Atlanta, pp.753-757

    Google Scholar 

  20. Rosenberg, A.E.: A Probabilistic Model for the Performance of Word Recognizers. AT&T Bell lab. Tech. Journal, Vol.63, No. 1, Jan. 1984, pp.1–32

    Google Scholar 

  21. Itahashi, S.: A Japanese language Speech Database. Proc. of Icassp 1986, Tokyo, pp.7.4.1-4

    Google Scholar 

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Author information

Authors and Affiliations

  1. AEG Forschungsinstitut, Ulm, Deutschland

    Helmut Mangold

Authors
  1. Helmut Mangold
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Editor information

Editors and Affiliations

  1. Fachbereich 14 Elektrotechnik, Universität-Gesamthochschule-Paderborn, Pohlweg 47–49, 4790, Paderborn, Deutschland

    Georg Hartmann

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© 1986 Springer-Verlag Berlin Heidelberg

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Mangold, H. (1986). Zur Messung der Leistungsfähigkeit von Sprach-erkennungssystemen. In: Hartmann, G. (eds) Mustererkennung 1986. Informatik-Fachberichte, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-71387-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-71387-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16812-6

  • Online ISBN: 978-3-642-71387-3

  • eBook Packages: Springer Book Archive

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