Browsing by Author "Prasetya Hutagalung, Donny"

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  • Repository Politeknik Negeri Batam
    Item
    Analisis Word Error Rate dan Waktu Respons pada Sistem Question-Answering di Robot Humanoid
    (2023) Prasetya Hutagalung, Donny; Rudiawan Jamzuri, Eko
    Penelitian ini mengusulkan sistem Question-Answering (QA) melalui media suara. Automatic Speech Recognition (ASR) dikembangkan menggunakan model VOSK untuk mengenali lima pertanyaan yang diucapkan oleh penutur secara acak dan QA dikembangkan menggunakan model RoBERTa. Hasil pengenalan suara di ASR kemudian memberikan jawaban sesuai dengan pertanyaan yang diucapkan. Dari pengujian yang dilakukan pada lima penutur secara acak dengan 125 kali percobaan, diperoleh nilai Word Error Rate (WER) sebesar 0.187. Sementara itu, sistem QA memiliki waktu respons dengan rata-rata sebesar 464,04 milliseconds. Hasil ini menunjukkan bahwa masih terdapat beberapa kesalahan pada ASR yang mempengaruhi kinerja sistem QA secara keseluruhan dan waktu respons sistem memberikan pengalaman yang cukup responsif. Hasil penelitian ini memberikan kontribusi pada penelitian dan pengembangan sistem QA, khususnya pada robot humanoid yang masih belum banyak diteliti.
  • Repository Politeknik Negeri Batam
    Item
    Automatic Speech Recognition for Human-Robot Interaction on the Humanoid Robot Barelang 7
    (EAI, 2024-01-19) Indah Mawaddah, Nurul; Rolando Andrian Tamba, Charlie; Prasetya Hutagalung, Donny; Danielius Nainggolan, Frans; Mutia Lubis, Eka; Rudiawan Jamzuri, Eko; Rudiawan Jamzuri, Eko
    This paper proposes a Human-Robot Interaction (HRI) system through voice commands. The study used the Barelang 7 humanoid dancing robot platform comprising 29 Degrees of Freedom (DoF). Automatic Speech Recognition (ASR) was developed using Python programming language and the VOSK Offline Speech Recognition toolkit to recognize five instructions spoken by random speakers. The voice recognition results in ASR are then sent to the robot via serial communication to realize movements according to spoken instructions. From tests conducted on five speakers randomly with 100 attempts, a Word Error Rate (WER) value of 0.096 was obtained. Meanwhile, testing the entire HRI system achieved a success rate of 92%. These results indicate that the HRI system has been successfully implemented on humanoid robots, although there are still some errors in the ASR system, that affect the overall performance of the HRI system. The results of this research contribute to the research and development of HRI systems, especially in humanoid robots, which are still not widely studied.