Models and Software Realization of Russian Speech Recognition based on Morphemic Analysis (2007)
Abstract / truncated to 115 words
Above 20% European citizens speak in Russian therefore the task of automatic recognition of Russian continuous speech has a key significance. The main problems of ASR are connected with the complex mechanism of Russian word-formation. Totally there exist above 3 million diverse valid word-forms that is very large vocabulary ASR task. The thesis presents the novel HMM-based ASR model of Russian that has morphemic levels of speech and language representation. The model includes the developed methods for decomposition of the word vocabulary into morphemes and acoustical and statistical language modelling at the training stage and the method for word synthesis at the last stage of speech decoding. The presented results of application of the ASR ...
speech recognition – morpheme-based model
Information
- Author
- Karpov, Alexey
- Institution
- St.Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences
- Supervisor
- Publication Year
- 2007
- Upload Date
- Dec. 26, 2008
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