Атты І халықаралық конференция ЕҢбектері
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Болатбек М. (1)
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Introduction Speech recognition is a process of automatic conversion of human speech into corresponding text. Modern automatic speech recognition systems (ASR) advanced significantly from simple speaker-dependent word recognition to speaker-independent large vocabulary continuous speech recognition for broadcast news and telephone conversation transcriptions. Despite of widespread use of such systems in daily life, most of them are concerned with the languages like English, German, Japan, Russian, etc. As for Kazakh language, it is still underrepresented in speech recognition research. Thus, the primary goal of this work is to build a baseline large vocabulary continuous speech recognition system. Fig. 1 outlines a standard architecture of a modern ASR system, which includes feature extraction and pre-processing, acoustic and language modeling, system combination and decoding. First step to build such a system for Kazakh would be collecting enough audio data, and creating the acoustic and language models. This is exactly the way we approach the problem. This paper presents an acoustic database of Kazakh speech in Section 2, the experiments and conclusions are given in Sections 3 and 4, respectively. Speech Text 232 Figure 1. The architecture of a standard ASR system. жүктеу/скачать 8,57 Mb. Достарыңызбен бөлісу:
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