Abstract
The purpose of automatic speech recognition technology is to enable the machine to “understand” human voice, and convert human voice into text information, which is the key technology to realize human-computer interaction. This paper briefly introduces the development of speech recognition technology and the acoustic model involved, analyzes the problems of noise interference in the environment, the low recognition rate of dialect speech, and the need to improve the speech recognition effect in the far-field environment, and puts forward solutions such as optimizing the acoustic model, building dialect corpus, accurately modeling the sound transmission environment, the future development is prospected.
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