文章基本信息

标题：An Adaptive Methodology for Ubiquitous ASR System
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作者：Urmila Shrawankar ; Vilas Thakare
期刊名称：Computer and Information Science
印刷版ISSN：1913-8989
电子版ISSN：1913-8997
出版年度：2013
卷号：6
期号：1
页码：58
DOI：10.5539/cis.v6n1p58
出版社：Canadian Center of Science and Education
摘要：
Achieving and maintaining the performance of ubiquitous (Automatic Speech Recognition) ASR system is a real challenge.

The main objective of this work is to develop a method that will improve and show the consistency in performance of ubiquitous ASR system for real world noisy environment.

An adaptive methodology has been developed to achieve an objective with the help of implementing followings,
Cleaning speech signal as much as possible while preserving originality / intangibility using various modified filters and enhancement techniques. Extracting features from speech signals using various sizes of parameter. Train the system for ubiquitous environment using multi-environmental adaptation training methods. Optimize the word recognition rate with appropriate variable size of parameters using fuzzy technique.
The consistency in performance is tested using standard noise databases as well as in real world environment. A good improvement is noticed.

This work will be helpful to give discriminative training of ubiquitous ASR system for better Human Computer Interaction (HCI) using Speech User Interface (SUI).