Abstract
Speech recognition is an area with a sizable literature, but there is little discussion of the topic within the computer science algorithms community. Since many of the problems arising in speech recognition are well suited for algorithmic studies, we present them in terms familiar to algorithm designers. Such cross fertilization can breed fresh insights from new perspectives.
This material is abstracted from A. L. Buchsbaum and R. Giancarlo, Algorithmic Aspects of Speech Recognition: An Introduction, ACM Journal of Experimental Algorithmics, Vol. 2, 1997, http://www.jea.acm.org.
Part of this work was done while the author was an MTS at AT&T Bell Labs and continued while visiting AT&T Labs. Part of the author’s research is supported by the Italian Ministry of Scientific Research, Project “Bioinformatica e Ricerca Genomica.”
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
L. R. Bahl, F. Jelinek, and R. L. Mercer. A maximum likelihood approach to continuous speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-5:179–190, 1983.
D. Breslauer. The suffix tree of a tree and minimizing sequential transducers. Theoretical Computer Science, 191(1-2):131–44, 1998.
A. L. Buchsbaum and R. Giancarlo. Algorithmic aspects in speech recognition: An introduction. ACM Journal of Experimental Algorithmics, 2, 1997. http://www.jea.acm.org.
A. L. Buchsbaum, R. Giancarlo, and J. R. Westbrook. On the determinization of weighted automata. In Proc. 25th International Colloquium on Automata, Languages and Programming, volume 1443 of Lecture Notes in Computer Science, pages 482–93, 1998.
A. L. Buchsbaum, R. Giancarlo, and J. R. Westbrook. Shrinking language models by robust approximation. In Proc. IEEE Int’l. Conf. on Acoustics, Speech, and Signal Processing’ 98, volume 2, pages 685–8, 1998. To appear in Algorithmica as “An Approximate Determinization Algorithm for Weighted Finite-State Automata”.
T. H. Cormen, C. E. Leiserson, and R. L. Rivest. Introduction to Algorithms. The MIT Electrical Engineering and Computer Science Series. MIT Press, Cambridge, MA, 1991.
H. N. Gabow. Scaling algorithms for network problems. Journal of Computer and System Sciences, 31:148–68, 1985.
P. E. Hart, N. J. Nilsson, and B. Raphael. A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems, Science, and Cybernetics, 4:100–7, 1968.
J. B. Kruskal and D. Sankoff, (editors). Time Wraps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison. Addison-Wesley, 1983.
M. Mohri. Minimization of sequential transducers. In Proc. 5th Symposium on Combinatorial Pattern Matching, volume 807 of Lecture Notes in Computer Science, pages 151–63, 1994.
M. Mohri. Finite-state transducers in language and speech processing. Computational Linguistics, 29:269–311, 1997.
M. Mohri, F. C. N. Pereira, and M. Riley. The design principles of a weighted finite-state transducer library. Theoretical Computer Science, 231:17–32, 2000.
A. Orda and R. Rom. Shortest path and minimum delay algorithms in networks with time-dependent edge-length. Journal of the ACM, 37:607–25, 1990.
F. Pereira and M. Riley. Speech recognition by composition of weighted finite automata. In Finite-State Language Processing. MIT Press, 1997.
F. Pereira, M. Riley, and R. Sproat. Weighted rational transductions and their application to human language processing. In Proc. ARPA Human Language Technology Conf., pages 249–54, 1994.
J. B. Pickering and B. S. Rosner. The Oxford Acoustic Phonetic Database on Compact Disk. Oxford University Press, 1993.
L. Rabiner and B.-H. Juang. Fundamentals of Speech Recognition. Prentice Hall Signal Processing Series. Prentice Hall, Englewood Cliffs, NJ, 1993.
C. Reutenauer and M.-P. Schützenberger. Minimization of rational word functions. SIAM Journal on Computing, 20(4):669–85, 1991.
E. Roche. Smaller representations for finite-state transducers and finite-state automata. In Proc. 6th Symposium on Combinatorial Pattern Matching, volume 937 of Lecture Notes in Computer Science, pages 352–65, 1995.
A. J. Viterbi. Error bounds for convolutional codes and an asymptotically optimal decoding algorithm. IEEE Transactions on Information Theory, IT-13:260–9, 1967.
A. Waibel and K.-F. Lee, (editors). Readings in Speech Recognition. Morgan Kaufmann, 1990.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Buchsbaum, A.L., Giancarlo, R. (2000). Algorithmic Aspects of Speech Recognition: A Synopsis. In: Giancarlo, R., Sankoff, D. (eds) Combinatorial Pattern Matching. CPM 2000. Lecture Notes in Computer Science, vol 1848. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45123-4_4
Download citation
DOI: https://doi.org/10.1007/3-540-45123-4_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67633-1
Online ISBN: 978-3-540-45123-5
eBook Packages: Springer Book Archive