Showing papers on "Intelligent word recognition published in 1982"
01 May 1982
TL;DR: The distribution of words in terms of patterns derived from broad categorization of the phonemes was investigated and implications for phonetically-based isolated word recognition strategies are discussed.
Abstract: As part of our goal to design large-vocabulary, phonetically-based isolated word recognition systems, we investigated the statistical properties and constraints of the phonemic structures of English words. Our database consisted of five lexicons varying in size from 1250 to 20,000 words. The lexicons included, in addition to a phonemic transcription for each word, the word's frequency of occurrence as determined from the Brown Corpus. We studied the distributions of the phonemes, both individually and by class, within the lexicon and within the corpus. Distributions of consonant clusters were also obtained. Finally, the distribution of words in terms of patterns derived from broad categorization of the phonemes was investigated. This paper summarizes the results of these studies and discusses implications for phonetically-based isolated word recognition strategies.
104 citations
TL;DR: An online handwritten character recognition algorithm, suitable for the home use computer, was developed, which recognizes a quickly written multi-stroke character using dynamic programming based pattern matching technique.
Abstract: An online handwritten character recognition algorithm, suitable for the home use computer, was developed. A character, written on a digitizing tablet, is expressed as a directional angle sequence. In order to recognize a quickly written multi-stroke character, the character pattern is converted into a single interconnected stroke pattern. The recognition is carried out using dynamic programming based pattern matching technique.
63 citations
01 May 1982
TL;DR: The Otaniemi Speech Recognition System is an isolated word recognition system for Finnish speech based on the use of phonemes as phonological subunits that makes the system advantageous with large vocabularies, especially in relation to limited computing resources.
Abstract: The Otaniemi Speech Recognition System is an isolated word recognition system for Finnish speech. The recognition is based on the use of phonemes as phonological subunits. This characteristic together with the recognition methods used makes the system advantageous with large vocabularies, especially in relation to limited computing resources. In this paper the on-line implementation of our recognition system is described. It has been developed drawing from our experiences with the earlier versions. In addition to the on-line recognition of isolated words the system can also be used for research and development purposes. The many interactive characteristics make it a very effective tool for testing new methods and algorithms.
2 citations
Journal Article•
2 citations
1 citations
01 May 1982
TL;DR: A method using models with fuzzy primitives which can, by utilizing the knowledge about the universe and the context of the primitives, correct possible errors in primitive recognition and therefore improve the ability of the recognition system.
Abstract: In structural pattern recognition, the errors in primitive recognition have an important effect on the recognition rate of object. This paper proposes a method using models with fuzzy primitives. It provides a simple and effective approach which can, by utilizing the knowledge about the universe and the context of the primitives, correct possible errors in primitive recognition and therefore improve the ability of the recognition system. In order to apply this method to the on line recognition of handwritten chinese ideographs, a method for feature extraction of graphisms, i.e. MLG method, is developed. Our system is implemented on a micro-computer Apple-II, the experiments for 200 chinese ideographs give satisfactory results.