The aim of this study is to suggest an algorithm that combines two speech recognition systems. These systems differ in the methods used in the feature extraction stage, but they have the same classifier Hidden Markov Model (HMM). The first system uses Mel-Frequency Cepstrum Coefficients (MFCC), the second one uses Linear Prediction Cepstrum Coefficients (LPCC), and the third system uses Perceptual Linear Predictive (PLP) features. The combination algorithm is applied separately on each couple of systems. The study is implemented on a data set that consists of the four voice commands: 'shutdown', 'documents', 'restart', and 'net' pronounced by 33 people. In addition to the improvement of the speech recognition rate for isolated words, the study aimed to determine the most complementary couple of systems through studying two kinds of errors: simultaneous and dependent errors. The system depending on MFCC features provided the highest recognition rate with 85.44%. The results showed noticeable improvement of combined systems in comparison with the individual systems where combining MFCC & PLP provided the highest recognition rate with 93.44%.
|Title of host publication
|2017 23rd IEEE International Conference on Automation and Computing (ICAC)
|Subtitle of host publication
|Addressing Global Challenges through Automation and Computing
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 26 Oct 2017
|23rd International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing - University of Huddersfield, Huddersfield, United Kingdom
Duration: 7 Sep 2017 → 8 Sep 2017
Conference number: 23
https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41042 (Link to Conference Website)
|23rd International Conference on Automation and Computing
|7/09/17 → 8/09/17
|The scope of the conference covers a broad spectrum of areas with multi-disciplinary interests in the fields of automation, control engineering, computing and information systems, ranging from fundamental research to real-world applications.