ANALISIS AUDIO MENGGUNAKAN SPEECH RECOGNITION UNTUK IDENTIFIKASI DAN DETEKSI SUARA DALAM BAHASA INDONESIA

Muhammad Alfian, NIM.: 19106050005 (2023) ANALISIS AUDIO MENGGUNAKAN SPEECH RECOGNITION UNTUK IDENTIFIKASI DAN DETEKSI SUARA DALAM BAHASA INDONESIA. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

Audio analysis allows processing of sound data to transform it into useful information. One of its applications is speech recognition, which enables machines to understand and process human language, making it possible to interact with machines using voice as input. Development of audio analysis is needed to facilitate the monitoring process in computer-based test (CBT) systems, especially at UIN Sunan Kalijaga. In this research, a system is developed using speech recognition to analyze recording results and Prototype method as the system development method. The analysis process is conducted using Python code with speech recognition. The results of this analysis provide output of transcript results, confidence scores, human voice activity, and audio visualization. The analysis results are based on the recording analysis process, and then sent to the web interface.

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