Speaker-independent speech recognition system using Kohonen self-organizing feature map
Date of Publication
1999
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Engineering | Systems and Communications
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Abstract/Summary
In the past few years, there has been much noteworthy advancement in artificial neural networks. One such classification of a neural network model was presented by Teuvo Kohonen, which produces what he calls self-organizing feature maps (SOFM) similar to how the brain works. The goal of the SOFM algorithm is to transform an incoming signal pattern of arbitrary dimensions into a discrete map, and to perform this transformatoin adaptively in a topologically ordered fashion.
This pattern classification ability of SOFM is explored for a practical speech recognition problem in this project. This thesis aims to develop a system, using Kohonen's SOFM algorithm, to recognize single word utterances independent of the speaker. With the proper algorithm and training, the SOFM forms a clustering of the inputs to perform word recognition.
The speaker-independent speech recognition system accepts as input isolated words stored as digital speech files. The speech files are preprocessed in order to extract the LPC coefficients of each file, which will serve as the input to the neural network. The SOFM is used to create a topological map of the commands in an unsupervised fashion. Once a topological map is generated, fine-turning is done using Optimum Learning Vector Quantization 1 (OLVQ1) algorithm. An architectural structure of the final map is designed using VHDL software. The design implements the Manhattan Distance computation using the IEEE format on real numbers.
The system achieved a recognition rate of 97.5%.
Abstract Format
html
Language
English
Format
Accession Number
TU09303
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 vol. (various pagings) ; Computer print-out.
Keywords
Automatic speech recognition; Pattern recognition systems; Speech processing systems.
Recommended Citation
Bacong, M., Cajes, G. A., Ellema, W. M., Galang, G. C., & Lazaro, A. D. (1999). Speaker-independent speech recognition system using Kohonen self-organizing feature map. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11028