Kundu, A., He, Y. and Bahl, P. (1988) Recognition of Handwritten Word: First and Second Order Hiden Markov Model Based Approach. IEEE Computer Society Conference on Computer Vision Pattern Recognition, CVPR’88, Ann Arbor, 5-9 June 1988, 457-462.
http://dx.doi.org/10.1109/CVPR.1988.196275

has been cited by the following article:

• TITLE: Phoneme Sequence Modeling in the Context of Speech Signal Recognition in Language “Baoule”

  AUTHORS: Hyacinthe Konan, Etienne Soro, Olivier Asseu, Bi Tra Goore, Raymond Gbegbe

  KEYWORDS: HMM, MATLAB, Language Model, Acoustic Model, Recognition Automatic Speech

  JOURNAL NAME: Engineering, Vol.8 No.9, September 14, 2016

  ABSTRACT: This paper presents the recognition of “Baoule” spoken sentences, a language of C?te d’Ivoire. Several formalisms allow the modelling of an automatic speech recognition system. The one we used to realize our system is based on Hidden Markov Models (HMM) discreet. Our goal in this article is to present a system for the recognition of the Baoule word. We present three classical problems and develop different algorithms able to resolve them. We then execute these algorithms with concrete examples.