ON THE USE OF THE MORPHIC GENERATOR GRAMMATICAL INFERENCE (MGGI) METHODOLOGY IN AUTOMATIC SPEECH RECOGNITION-Reference-Cited by-同舟云学术

ON THE USE OF THE MORPHIC GENERATOR GRAMMATICAL INFERENCE (MGGI) METHODOLOGY IN AUTOMATIC SPEECH RECOGNITION

Published:1990-12 Issue:04 Volume:04 Page:667-685
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

GARCÍA PEDRO¹,SEGARRA ENCARNA¹,VIDAL ENRIQUE¹,GALIANO ISABEL¹

Affiliation:

1. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera, s/n, 46071 Valencia, Spain

Abstract

Recently, a new methodology, referred to as “Morphic Generator Grammatical Inference” (MGGI), has been introduced as a step towards a general methodology for the inference of regular languages. In this paper we consider the application of this methodology to a real problem of automatic speech recognition, thus allowing (and also requiring) the proposed problem to be properly formulated within the canonical framework of syntactic pattern recognition. The results show both the viability and appropriateness of the application of MGGI to the problem considered.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S021800149000037X

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A bibliographical study of grammatical inference;Pattern Recognition;2005-09

2. Distances between Distributions: Comparing Language Models;Lecture Notes in Computer Science;2004

3. Language Understanding Using n-multigram Models;Advances in Natural Language Processing;2004

4. Permutations and Control Sets for Learning Non-regular Language Families;Grammatical Inference: Algorithms and Applications;2000

5. GRAMMATICAL INFERENCE FOR THE AUTOMATIC GENERATION OF VISUAL LANGUAGES;International Journal of Software Engineering and Knowledge Engineering;1999-08