A Study on Speech Recognition for Design Intent of Geometric Modeling Using HMM and its Application

Abstract:

Design automation is always one of research focuses in the field of industry practices. With the development of computer science and technology, speech recognition technology attracts increasing researchers, and it is widely applied to industrial production. Around design automation, we propose a geometry modeling method through design intent using speech recognition, which is an automatic and efficient geometry modeling method. This paper discusses the speech recognition for design intent of geometry modeling using Hidden Markov Model, HMM. In this paper, firstly, the research framework is explained in detail; Secondly, analysis on the related theory and technology about the speech recognition are conducted, including speech signal collection, technology of data processing, technology of training and recognition of model, etc.; Thirdly, some experiments are carried out to validate above discussions; Finally, recognition efficiency comparisons between HMM and DTW are discussed. Experiments show that using HMM for the speech recognition of design intent is feasible and reasonable.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 420-425
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.420
• Online since: October 2013
• Authors: Feng Chen, Zhen Wei Wang, Shuo Yang, Ye Tian
• Keywords: Design Intent, Geometric Modeling, Hidden Markov Model (HMM), Speech Recognition

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DOI: 10.1016/s1005-8885(11)60233-1