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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Hanan Najm Abdulkhudhur
Ministry of Higher Education and Scientific Research (MOHESR)

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An ensemble technique for speech recognition in noisy environments Imad Qasim Habeeb; Tamara Z. Fadhil; Yaseen Naser Jurn; Zeyad Qasim Habeeb; Hanan Najm Abdulkhudhur
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp835-842

Abstract

Automatic speech recognition (ASR) is a technology that allows a computer and mobile device to recognize and translate spoken language into text. ASR systems often produce poor accuracy for the noisy speech signal. Therefore, this research proposed an ensemble technique that does not rely on a single filter for perfect noise reduction but incorporates information from multiple noise reduction filters to improve the final ASR accuracy. The main factor of this technique is the generation of K-copies of the speech signal using three noise reduction filters. The speech features of these copies differ slightly in order to extract different texts from them when processed by the ASR system. Thus, the best among these texts can be elected as final ASR output. The ensemble technique was compared with three related current noise reduction techniques in terms of CER and WER. The test results were encouraging and showed a relatively decreased by 16.61% and 11.54% on CER and WER compared with the best current technique. ASR field will benefit from the contribution of this research to increase the recognition accuracy of a human speech in the presence of background noise.
Co-Authors Imad Qasim Habeeb Tamara Z. Fadhil Yaseen Naser Jurn Zeyad Qasim Habeeb