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Voice / speech is one of the ways we as human beings to communicate and express themselves. Speech to text (STT), is one of computer science is the field of sound processing. Speech to text (STT) is the translation of the sentence (the spoken word) in the text. STT is a voice signal processing, extracting features from the speech signal and then compared it with the extraction of the other sound signal to recognize the signal similarities. This research design and build an application program Speech to Text that is capable of identifying a sound signal using simulation software MATLAB R2016a. There are two common processes in the field of sound processing, feature extraction and matching features. In this system, the method mel-frequency cepstral coefficients are used to extract features and dynamic time warping method used for matching features. DTW method used can calculate the distance or the difference between the two data being compared. The average accuracy is obtained after experiments on the test word was 95.85% and the testing of the sentence is 94%.

IMPLEMENTASI TEKNIK DYNAMIC TIME WARPING (DTW) PADA APLIKASI SPEECH TO TEXT