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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.20 No.4
- 발행연도
- 2020.12
- 수록면
- 272 - 277 (6page)
- DOI
- 10.5391/IJFIS.2020.20.4.272
이용수
초록· 키워드
오류제보하기
Isolated uttered word recognition has many applications in human–computer interfaces. Feature extraction in speech represents a vital and challenging step for speech-based classification. In this work, we propose a one-dimensional convolutional neural network (CNN) that extracts learned features and classifies them based on a multilayer perceptron. The proposed models are tested on a designed dataset of 119 speakers uttering Kurdish digits (0-9). The results show that both speaker-dependent (average accuracy of 98.5%) and speaker-independent (average accuracy of 97.3%) models achieve convincing results. The analysis of the results shows that 9 of the speakers have a bias characteristic, and their results are outliers compared to the other 110 speakers.
목차
Abstract
1. Introduction
2. Related Work
3. The Proposed Model
4. Rail Data Set
5. Results and Discussion
6. Conclusion
References
참고문헌 (11)
참고문헌 신청
A. Allosh / 2013 / Speech recognition of Arabic spoken digits / Conference Papers in Science 2013
M. D. Rudresh / 2017 / Performance analysis of speech digit recognition using cepstrum and vector quantization / Proceedings of 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) :1~6
D. Palaz / 2015 / Analysis of CNN-based speech recognition system using raw speech as input
S. M. Omer / 2019 / Uttered Kurdish digit recognition system / Journal of University of Raparin 6(2):78~85
S. D. Dhingra / 2013 / Isolated speech recognition using MFCC and DTW / International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2(8):4085~4092
M. D. Rudresh / 2017 / Performance analysis of speech digit recognition using cepstrum and vector quantization / Proceedings of 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) :1~6
D. Palaz / 2015 / Analysis of CNN-based speech recognition system using raw speech as input
S. M. Omer / 2019 / Uttered Kurdish digit recognition system / Journal of University of Raparin 6(2):78~85
S. D. Dhingra / 2013 / Isolated speech recognition using MFCC and DTW / International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 2(8):4085~4092
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