arrow
Return

Optimal linguistic decoding is a difficult computational problem

delete1999-08-01
delete6
PRE
AI
F
Francisco Casacuberta *
C
Colin de la Higuera
DOI:10.1016/S0167-8655(99)00045-8delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The general problem of decoding an acoustic sequence into an optimal word string under the probabilistic framework cannot be solved by an algorithm in polynomial time. This result is achieved by using the Computational Complexity Theory. The main consequence of this result is that in the most successful framework of speech recognition only suboptimal decoding can be achieved. (C) 1999 Elsevier Science B.V. All rights reserved.
Keywords:
syntactic pattern recognition
speech decoding
optimal search
computational complexity
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
8.0K
Citations:
1.6W

Organization

No organization information available
Cited Papers

Cited Papers

No cited papers available