Automatic speech recognition in computer-assisted language learning for individual learning in speaking

Author:

Junining Esti,Alif Sony,Setiarini Nuria

Abstract

This study is intended to help English as a Foreign Language (EFL) learners in Indonesia to reduce their anxiety level while speaking in front of other people. This study helps to develop an atmosphere that encourages students to practice speaking independently. The interesting atmosphere can be obtained by using Automatic Speech Recognition (ASR) where every student can practice speaking individually without feeling anxious or pressurized, because he/she can practice independently in front of a computer or a gadget. This study used research and development design as it tried to develop a product which can create an atmosphere that encourages students to practice their speaking. The instrument used is a questionnaire which is used to analyze the students’ need of learning English. This study developed a product which utilized ASR technology using C# programming language. This study revealed that the product developed using ASR can make students practice speaking individually without feeling anxious and pressurized.

Publisher

Universitas Muhammadiyah Sidoarjo

Subject

General Medicine

Reference19 articles.

1. Auralog (2013). Tell Me More. https://www.crunchbase.com/organization/tell-me-more.

2. IMPLEMENTASI SPEECH RECOGNITION PADA APLIKASI BELAJAR BENTUK PERMAINAN MENEBAK KATA BAKU BAHASA INDONESIA

3. Benk, S., Elmir, Y., and Dennai, A. (2019). A study on automatic speech recognition. Journal of Information and Technology Review 10.

4. Instructional Design: The ADDIE Approach

5. Brown, H. and Douglas (2007). Teaching by principles an interactive approach to language pedagogy (New York: Pearson Education).

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3. Sphinx-Based Evaluation of Efficient Acoustic Modeling Parameters for LibriSpeech Corpus;2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST);2022-12-09

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