Abstract
Improved Rapid Automatic Keyword Extraction for Voice-based Mechanical Arm Control
Highlights
In recent years, with the maturation of speech recognition technology, its application fields have become extensive and include common speech processing tasks such as machine translation,(1) question answering,(2) and sentiment analysis.[3]
With the maturation of speech recognition technology, its application fields have become extensive and include common speech processing tasks such as machine translation,(1) question answering,(2) and sentiment analysis.[3]. The related technologies of speech processing include machine learning, data mining, knowledge acquisition related to language processing, and linguistic research related to language computing
We propose an improved rapid automatic keyword extraction (IRAKE) method
Summary
With the maturation of speech recognition technology, its application fields have become extensive and include common speech processing tasks such as machine translation,(1) question answering,(2) and sentiment analysis.[3]. Most existing speech recognition[4,5] and natural language processing[2,6] systems do not involve the control of industrial equipment This is because reliable systems are seldom used in real industrial environments, rather than because of the inadequacy of the technology or the unsuitability of the voice sensing control system for industrial control. An industrial voice sensing control system must meet specific requirements that are more stringent than those in non-industrial situations before it can be used in production lines. Before executing these instructions, the voice assistant system must first understand the human language, so speech recognition and processing technologies for natural language understanding[7,8] are important.
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