Paper Info
Title
Language Model Comparison for Ukrainian Real-Time Speech Recognition System.
Abstract
This paper describes a real-time speech recognition system for Ukrainian designed basically for text dictation purpose targeting moderate computation requirements. The research is focused on language model parameter estimation. As a Slavonic language Ukrainian is highly inflective and tolerates relatively free word order. These features motivate transition from word- to class-based statistical language model. According to our experimental research, class-based LMs occupy less space and potentially outperform a 3-gram word-based model. We also describe several tools developed to visualize HMMs, to predict word stress, and to manage cluster-based language modeling.
Year
DOI
Venue
2013
10.1007/978-3-319-01931-4_28
SPECOM
Field
DocType
Citations 
Factored language model,Cache language model,Stress (linguistics),Word order,On Language,Computer science,Speech recognition,Dictation,Ukrainian,Natural language processing,Artificial intelligence,Language model
Conference
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Mykola M. Sazhok101.01
Valentyna Robeiko201.01