Abstract
The paper presents automatic system for recognition of the voice commands. The neural based system for recognition of spoken commands, registered using smartphone is proposed. It applies the statistical processing of data leading to diagnostic feature generation and application of support vector machine as the final classifier. The recognized words are typical commands that might be used in automatic controlling of the wheelchair or represent the passwords used in speaker identification. The results of numerical experiments will be presented and discussed. They show the applicability of the presented method in simplified solution of voice command recognition.
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Osowska, A., Osowski, S. (2019). Voice Command Recognition Using Statistical Signal Processing and SVM. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science(), vol 11506. Springer, Cham. https://doi.org/10.1007/978-3-030-20521-8_6
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DOI: https://doi.org/10.1007/978-3-030-20521-8_6
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