ANALISIS SPEECH RECOGNITION MENGGUNAKAN EKSTRAKSI CIRI FAST FOURIER TRANSFORM DENGAN PENCOCOKAN POLA EUCLIDEAN DISTANCE

ADI CAHYONO, ARIF (2020) ANALISIS SPEECH RECOGNITION MENGGUNAKAN EKSTRAKSI CIRI FAST FOURIER TRANSFORM DENGAN PENCOCOKAN POLA EUCLIDEAN DISTANCE. Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

Voice is often used to send important information in the field of defense and others. A system is needed to keep this information accurate. Speech recognition is a process performed by a device to recognize and understand spoken words. Meanwhile, Euclidean Distance is the calculation of the distance from 2 points in Euclidean space. This study designed a speech recognition system that can verify speech based on what has been said with FFT (Fast Fourier Transform) feature extraction and Euclidean distance pattern matching. The speech recognition system is designed starting from the process of reference data and test data, both processes have the same process starting from voice recording, voice cutting, preprocessing, feature extraction. This system uses the FFT (Fast Fourier Transform) method for feature extraction. The results of feature extraction from the two data will be compared with the euclidean distance as a pattern match. Calculations using euclidean distance that produce the smallest distance or value will be determined as the output. The system test results show that the system can verify numeric speech with an average recognition accuracy of 53%. The results were obtained from 10 tests of the reference data of each speaker, which was carried out by 3 speakers. Each reciter recites the sound of the assigned number one, two, three, four, five, six, seven, eight, nine, ten.

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