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Two-level DP-matching--A dynamic programming-based pattern matching algorithm for connected word recognition

Sakoe, H.·1979·IEEE Transactions on Acoustics, Speech, and Signal Processing

Abstract

This paper reports a pattern matching approach to connected word recognition. First, a general principle of connected word recognition is given based on pattern matching between unknown continuous speech and artificially synthesized connected reference patterns. Time-normalization capability is allowed by use of dynamic programming-based time-warping technique (DP-matching). Then, it is shown that the matching process is efficiently carried out by breaking it down into two steps. The derived algorithm is extensively subjected to recognition experiments. It is shown in a talker-adapted recognition experiment that digit data (one to four digits) connectedly spoken by five persons are recognized with as high as 99.6 percent accuracy. Computation time and memory requirement are both proved to be within reasonable limits.

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Metadata

Authors
Sakoe, H.
Venue
IEEE Transactions on Acoustics, Speech, and Signal Processing
Published
1979-12
Volume
27
Issue
6
Pages
588-595
ISSN
0096-3518 (ISSN-L)
OpenAlex
W2155126530
Cited by
261
References
0
FWCI
9.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Two-level DP-matching--A dynamic programming-based pattern matching algorithm for connected word recognition. https://app.cochat.ai/papers/10.1109/tassp.1979.1163310
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Sakoe, H. (1979). Two-level DP-matching--A dynamic programming-based pattern matching algorithm for connected word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1979.1163310

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