Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/18798
Title: Robust isolated word speech recognition system
Authors: Rajan Sobhana Rashobh
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2008
Abstract: The aim of this study is to develop a Robust Isolated Word Speech Recognition System. A Dynamic Time Warping based Automatic Speech Recognition system is implemented which can recognize digits zero through nine, pronounced in English by different speakers under different conditions. Pattern matching method is adopted here. This system can be used for applications such as phone dialing. Mel Frequency Cepstral Coefficients (MFCCs) are used as the feature vectors in this project. The templates are created by using the combination of Dynamic Time Warping and Vector Quantization techniques. Templates are created with different sizes and the results are evaluated. The recognizer is evaluated against different noise conditions and speakers. The evaluated results are discussed and finally, this study also put forward the recommendation and future works to extend this project.
URI: http://hdl.handle.net/10356/18798
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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