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Mobile robot voice recognition control simulation system design and implementation

Author: QuJingJing
Tutor: NieXuYun；RenTianXin
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Simulation System Automatic Speech Recognition (ASR) Dynamic Time Warping (DTW) Linear prediction (LPC) Artificial Neural Network (ANN)
CLC: TN912.34
Type: Master's thesis
Year: 2010
Downloads: 128
Quote: 1
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Abstract


This article describes the development of simulation system at home and abroad , as well as the popular simulation technology, etc. made ??a more systematic review based on this clarifies the research background and significance. In speech recognition , based on the introduction of neural networks and artificial neural network characteristics. The main research of artificial neural networks is how to apply speech recognition among . For non-specific isolated word recognition task based on three different structures of neural network (BP network , RBF networks and predicting network ) , research construct the corresponding model and algorithm for speech recognition , and completed the software design and development. Through simulation , neural network algorithm compares three recognition performance and application characteristics analyzed and discussed the different characteristic parameters , and with the conventional dynamic time consolidation (DTW) method were compared. The results show that neural network method has higher recognition rate and unique application advantages . Finally, the actual voice recognition system - indoor mobile robot testing and research , using the single-output mode that combines hardware and software support for voice SPCE061A , through the voice of teaching methods , composed of sensors and voice encoded vector form samples to trigger the way to make the robot voice in an unknown environment sampling , collection is completed, the robot through a set of samples collected to train themselves and for the further development of practical speech recognition system based on the work done and exploratory work .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing > Speech Recognition and equipment
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