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OPTIMAL SELECTION OF SPEECH RECOGNITION SYSTEM FOR NEWS ANALYSIS
Koshkareva Julia Igorevna1, Terekhov Valerii Igorevich2
1Bauman Moscow State University, student
2Bauman Moscow State University, PhD in Engineering Science, Associate professor of Information Processing and Control Systems
1Bauman Moscow State University, student
2Bauman Moscow State University, PhD in Engineering Science, Associate professor of Information Processing and Control Systems
Abstract
The article considers the principles of speech recognition systems, provides a classification in accordance with various features. It makes a gradual analysis of the most common speech recognition algorithm. The main advantages and disadvantages of recognition systems based on open source systems and closed-source, with an open API are considered. On the basis of the classification the most important criteria for the selection of speech recognition systems are chosen. A variety of analytical and computational methods are applied, by which is determined the most suitable system for news information analysis tasks is determined.
Keywords: algorithm of speech recognition, noise cancellation, pronunciation dictionary, speech recognition systems
Category: 05.00.00 Technical sciences
Article reference:
Optimal Selection of speech recognition system for news analysis // Modern scientific researches and innovations. 2016. № 5 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2016/05/67547
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