NDLI: Hierarchical DP for word recognition

Content Provider	IEEE Xplore Digital Library
Author	Glassman, M.
Copyright Year	1985
Description	Author affiliation: SIEMENS Research and Technology Laboratories, Princeton, NJ (Glassman, M.)
Abstract	A hierarchical multi-pass process using a two level dynamic programming structure for word recognition is described. Segmentation is used to define regions within the global matrix which will be used as "local" matrices for dp in a hierarchical fashion. A global warping path and distance is refined iteratively as results from local dp are incorporated. This technique is designed for more controlled interaction between regions, effective use of hierarchical processing, and speech specific pattern matching at both levels. A related experiment to test the effectiveness of regional, phonetically oriented templates and matching parameters for word pair discrimination is summarized. Word pair specific tests discriminated without error across all speakers for ten of the most confusable pairs in a standard data base (16 speakers, 5120 trials total). The tests were found using a catalogue of region types and parameters selected for potential utility in this task.
Starting Page	886
Ending Page	889
File Size	133795
Page Count	4
File Format	PDF
DOI	10.1109/ICASSP.1985.1168162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1985-04-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern matching Testing Acoustic noise Speech recognition Noise robustness Data models Lattices Laboratories Dynamic programming Speech processing
Content Type	Text
Resource Type	Article

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