Abstract
An important issue in template-matching continuous-speech recognition systems is the right choice of the language model, together with an appropriate definition of the basic units to be recognized. The advantages of using a hierarchical transition network model with diphones and diphone-like elements as basic units are illustrated in the paper. However, a severe drawback in the use of sub-word units is an increased complexity in producing and managing the overall knowledge relating to language representation and template definition and extraction. An efficient solution to this problem is required especially when the recognition system is to be used by unskilled users in actual applications. For this purpose we have developed an automatic procedure for generating the linguistic, phonetic and acoustic data bases expressing the whole information required by the diphone-based system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
P. S. Cohen and R. L. Mercer, “The Phonological Component of an Automatic Speech Recognition System”, in D. R. Reddy (Editor), SPEECH RECOGNITION, Academic Press, New York, p. 275, 1975.
A. M. Colla and D. Sciarra, “Automatic Diphone Bootstrapping for Speaker-Adaptive Continuous Speech Recognition”, Proc. ICASSP 1984, (35.2), S. Diego, 1984.
J. L. Flanagan, C. H. Coker, L. R. Rabiner, R. W. Schafer and N. Umeda, “Synthetic Voices for Computers”, IEEE Spectrum, 7, p. 22, 1970.
K. S. Fu, SYNTACTIC METHODS IN PATTERN RECOGNITION, Academic Press, New York, 1974.
H. Fujisaki, K. Hirose and T. Inoue, “Automatic Recognition of Connected Words from a Large Vocabulary Using Syllable Templates”, Proc. ICASSP 1984, (26.9), S. Diego, 1984.
D. Hopkin and B. Moss, AUTOMATA, MacMillan, London, p. 5, 1976.
M. J. Hunt, M. Lennig and P. Mermelstein, “Experiments in Syllable Based Recognition of Continuous Speech”, Proc. ICASSP 1980, Denver, p. 880, 1980.
D. H. Klatt, “SCRIBER and LAFS: Two New Approaches to Speech Analysis”, in W. A. Lea (Editor), TRENDS IN SPEECH RECOGNITION, Prentice-Hall, Englewood Cliffs, p. 529, 1980.
B. T. Lowerre and D. R. Reddy, “The HARPY Speech Understanding System”, in W. A. Lea (Editor), TRENDS IN SPEECH RECOGNITION, Prentice-Hall, Englewood Cliffs, p. 340, 1980.
C. S. Myers, L. R. Rabiner and A. E. Rosenberg, “On the Use of Dynamic Time Warping for Word Spotting and Connected Word Recognition”, The Bell System Technical Journal, 60, 3, p. 303–325, 1981.
M. Onishi (Supervisor), A GRAND DICTIONARY OF PHONETICS, The Phonetic Society of Japan, p. 129, 1981.
J. E. Paul and A. S. Rabinowitz, “An Acoustically Based Continuous Speech Recognition System”, IEEE Symposium on Speech Recognition, Carnegie-Mellon University, Pittsburgh, PA, p. 63, 1974.
L. R. Rabiner and R. W. Schafer, DIGITAL PROCESSING OF SPEECH SIGNAL, Prentice-Hall, Englewood Cliffs, p. 442, 1978.
C. Scagliola and L. Marmi, “Continuous Speech Recognition via Diphone Spotting: a Preliminary Implementation”, Proc. ICASSP 1982, Paris, p. 2008, 1982.
C. Scagliola, “Continuous Speech Recognition Without Segmentation: Two Ways of Using Diphones as Basic Speech Units”, Speech Communication, 2 (2–3), p. 199, 1983.
C. Scagliola, “Language Models and Search Algorithms for Real-Time Speech Recognition” (to appear on: International Journal of Man-Machine Studies).
J. E. Shoup, “Phonological Aspects of Speech Recognition”, in W. A. Lea (Editor), TRENDS IN SPEECH RECOGNITION, Prentice-Hall, Englewood Cliffs, p. 125, 1980.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1985 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Colla, A.M., Sciarra, D. (1985). Automatic Generation of Linguistic, Phonetic and Acoustic Knowledge for a Diphone-Based Continuous Speech Recognition System. In: De Mori, R., Suen, C.Y. (eds) New Systems and Architectures for Automatic Speech Recognition and Synthesis. NATO ASI Series, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82447-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-82447-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-82449-4
Online ISBN: 978-3-642-82447-0
eBook Packages: Springer Book Archive