Development of the Oral Examination Assessment System (SIPENILAI) in Japanese Using Latent Semantic Analysis (LSA) Algorithm-Reference-Cited by-同舟云学术

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Development of the Oral Examination Assessment System (SIPENILAI) in Japanese Using Latent Semantic Analysis (LSA) Algorithm

Published:2020-11-27 Issue: Volume: Page:
ISSN:
Container-title:2020 the 6th International Conference on Communication and Information Processing
language:
Short-container-title:

Author:

Siti Shalihah Fadhilah¹,Dewi Purnamasari Prima¹,Santiar Lea¹,Putri Ratna Anak Agung¹

Affiliation:

1. Universitas Indonesia, Indonesia

Funder

Universitas Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3442555.3442558

Reference12 articles.

1. Speech Recognition in Kannada using HTK and Julius: A Comparative Study

2. A Review on Automatic Speech Recognition Architecture and Approaches;K. S;Int. J. Signal Process. Image Process. Pattern Recognit.,2016

3. Automatic Essay Grading System Based on Latent Semantic Analysis with Learning Vector Quantization and Word Similarity Enhancement

4. “SpeechRecognition PyPI.” [Online]. Available: https://pypi.org/project/SpeechRecognition/#description. [Accessed: 15-Apr-2020]. “SpeechRecognition PyPI.” [Online]. Available: https://pypi.org/project/SpeechRecognition/#description. [Accessed: 15-Apr-2020].

5. Evaluating the performance of LSA for source-code plagiarism detection;Cosma G.;Inform.,2012

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