Information technologies and computer sciences
Basic approaches to speech recognition (Part I)
Keywords
speech recognition
noise reduction
speech signal segmentation
voiced signal
phoneme
mel scale
formant
allophone
statistical analysis
correlation analysis
hidden markov models
gaussian mixture models
likelihood ratio
Abstract
This paper is devoted to describing and classification of the nowadays available speech processing and recognition techniques. Initial stages of speech signal processing are investigated and speech recognition systems are classified. Various approaches of processing, treatment and recognition of speech signal are analyzed. Speech signal noise reduction, segmentation and parameterization methods are also come into question. Great attention dedicated to the comparison of the different methods of speech recognition. Correlation analysis, phoneme-reference method, expert systems, hidden Markov models and Gaussian mixture models are considered.
How to Cite
[1]
“Basic approaches to speech recognition (Part I)”, Вісник ВПІ, no. 4, pp. 50–64, Nov. 2010, Accessed: Oct. 09, 2026. Available: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/1746
