Reconstruction of the phonetic composition the recognized word using lexical ontology

Autor:	Natalia A. Krasheninnikova, Andrey Armer, Vadim Moshkin
Rok vydání:	2018
Předmět:	Computer science business.industry Artificial intelligence Ontology (information science) business computer.software_genre Composition (language) computer Word (computer architecture) Natural language processing
Zdroj:	Collection of selected papers of the IV International Conference on Information Technology and Nanotechnology.
DOI:	10.18287/1613-0073-2018-2212-199-205
Popis:	It is possible to improve the quality of speech recognition in noisy environments adapting the reconstruction algorithm for the recognized word to the certain peculiarities of usage and application. The article describes an approach to reconstruct the phonetic composition of a recognized word using lexical ontology. The lexical ontology contains lexical links among the words of the subject domain and their phonetic composition in terms of the SAMPA+ for the Russian language.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::95472f35bce127205eed495c0dac846f https://doi.org/10.18287/1613-0073-2018-2212-199-205 Zobrazit plný text záznamu