Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text
Bandung State Polytechnic has implemented project-oriented problem-based learning as its new educational approach. Project 6, or Final Project, is a course that communicates student learning results. Documenting seminar events is crucial as it provides valuable resources for students to analyze semi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Pendidikan Indonesia
2024-12-01
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| Series: | Jurnal Pendidikan Multimedia |
| Subjects: | |
| Online Access: | https://ejournal.upi.edu/index.php/Edsence/article/view/74660 |
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| _version_ | 1846098862376222720 |
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| author | Trisna Gelar Aprianti Nanda Sari Djoko Cahyo Utomo Lieharyani Fauza Naylassana Nisrina Wafa Zakiya Hamdani |
| author_facet | Trisna Gelar Aprianti Nanda Sari Djoko Cahyo Utomo Lieharyani Fauza Naylassana Nisrina Wafa Zakiya Hamdani |
| author_sort | Trisna Gelar |
| collection | DOAJ |
| description | Bandung State Polytechnic has implemented project-oriented problem-based learning as its new educational approach. Project 6, or Final Project, is a course that communicates student learning results. Documenting seminar events is crucial as it provides valuable resources for students to analyze seminar outcomes and address any inquiries from teachers. However, not all students are inherently proactive in documenting or recording these activities. The task of transcribing learning outcomes becomes distinct when the emphasis is placed on students. This study aims to develop and evaluate a speech-to-text model utilizing DeepSpeech for transcribing seminar presentations related to final year projects, tackling the difficulties presented by spontaneous speech patterns and specialized technical terminology in software engineering. The model is trained and assessed utilizing Word Error Rate (WER) and Character Error Rate (CER) measures. The results of this study are the development of speech-to-text systems for educational purposes, especially within project-based student-centered learning. These resulting transcriptions could benefit both students and educators by offering a searchable and analyzable account of seminar presentations and improving feedback. |
| format | Article |
| id | doaj-art-83e8237a4ee44cc1acbb4ffd6720c634 |
| institution | Kabale University |
| issn | 2685-2489 2685-2535 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universitas Pendidikan Indonesia |
| record_format | Article |
| series | Jurnal Pendidikan Multimedia |
| spelling | doaj-art-83e8237a4ee44cc1acbb4ffd6720c6342025-01-01T07:59:54ZengUniversitas Pendidikan IndonesiaJurnal Pendidikan Multimedia2685-24892685-25352024-12-016210311610.17509/edsence.v6i2.7466027499Transcription of Informatics Final Project Seminar Recordings via Speech-to-TextTrisna Gelar0Aprianti Nanda Sari1Djoko Cahyo Utomo Lieharyani2Fauza Naylassana3Nisrina Wafa Zakiya Hamdani4(Scopus ID: 57205290852), Computational Thinking, E-Learning, Computer Vision, NLP, Politeknik Negeri Bandung (POLBAN)Politeknik Negeri BandungPoliteknik Negeri BandungPoliteknik Negeri BandungPoliteknik Negeri BandungBandung State Polytechnic has implemented project-oriented problem-based learning as its new educational approach. Project 6, or Final Project, is a course that communicates student learning results. Documenting seminar events is crucial as it provides valuable resources for students to analyze seminar outcomes and address any inquiries from teachers. However, not all students are inherently proactive in documenting or recording these activities. The task of transcribing learning outcomes becomes distinct when the emphasis is placed on students. This study aims to develop and evaluate a speech-to-text model utilizing DeepSpeech for transcribing seminar presentations related to final year projects, tackling the difficulties presented by spontaneous speech patterns and specialized technical terminology in software engineering. The model is trained and assessed utilizing Word Error Rate (WER) and Character Error Rate (CER) measures. The results of this study are the development of speech-to-text systems for educational purposes, especially within project-based student-centered learning. These resulting transcriptions could benefit both students and educators by offering a searchable and analyzable account of seminar presentations and improving feedback.https://ejournal.upi.edu/index.php/Edsence/article/view/74660speech to textfinal projectdeepspeechseminar recording |
| spellingShingle | Trisna Gelar Aprianti Nanda Sari Djoko Cahyo Utomo Lieharyani Fauza Naylassana Nisrina Wafa Zakiya Hamdani Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text Jurnal Pendidikan Multimedia speech to text final project deepspeech seminar recording |
| title | Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text |
| title_full | Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text |
| title_fullStr | Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text |
| title_full_unstemmed | Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text |
| title_short | Transcription of Informatics Final Project Seminar Recordings via Speech-to-Text |
| title_sort | transcription of informatics final project seminar recordings via speech to text |
| topic | speech to text final project deepspeech seminar recording |
| url | https://ejournal.upi.edu/index.php/Edsence/article/view/74660 |
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