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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.10 No.3
- 발행연도
- 2021.6
- 수록면
- 233 - 239 (7page)
- DOI
- 10.5573/IEIESPC.2021.10.3.233
이용수
초록· 키워드
오류제보하기
Speech recognition is one of the fastest-growing engineering technologies. It has several applications in different areas, and provides many potential benefits. A lot of people are unable to communicate due to language barriers. We aim to reduce this barrier via our project, which was designed and developed to achieve systems in particular cases to provide significant help so people can share information by operating a computer using voice input. This project keeps that factor in mind, and an effort is made to ensure our project is able to recognize speech and convert input audio into text; it also enables a user to perform file operations like Save, Open, or Exit from voice-only input. We design a system that can recognize the human voice as well as audio clips, and translate between English and Hindi. The output is in text form, and we provide options to convert audio from one language to the other. Going forward, we expect to add functionality that provides dictionary meanings for Hindi and English words. Neural machine translation is the primary algorithm used in the industry to perform machine translation. Two recurrent neural networks used in tandem to construct an encoder-decoder structure are the architecture behind neural machine translation. This work on speech recognition starts with an introduction to the technology and the applications used in different sectors. Part of the report is based on software developments in speech recognition.
목차
Abstract
1. Introduction
2. Literature Review
3. Proposed Method
4. Results
5. Conclusion
6. Future Scopes
References
참고문헌 (10)
참고문헌 신청
Mehmet Berkehan Akçay, Kaya Oğuz, Speech emotion recognition: Emotional models, databases,features, preprocessing methods, supporting modalities, and classifiers, Speech Communication, Volume116, 2020, Pages 56-76, ISSN 0167-6393, Article (CrossRefLink).
G. Tsontzos, V. Diakoloukas, C. Koniaris and V. Digalakis, "Estimation of General Identifiable Linear Dynamic Models with an sApplication in Speech characteristics vectors, Computer Standards & Interfaces, Volume 35, Issue 5, 2013, Pages 490-506, ISSN 0920-5489.
Y. Wu et al., "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation," arXiv preprint arXiv:1609.08144, pp. 1-23, 2016.
Shuping Peng, Tao Lv, Xiyu Han, Shisong Wu, ChunhuiYan, Heyong Zhang,Remote speaker recognition based on the enhanced LDV-captured speech, Applied Acoustics,Volume 143, 2019, Pages 165-170, ISSN 0003-682X, Article (CrossRefLink)
A. A. Varghese, J. P. Cherian and J. J. Kizhakkethottam, "Overview on emotion recognition system," 2015 International Conference on Soft-Computing and Networks Security (ICSNS), Coimbatore, 2015, pp. 1-5, Article (CrossRefLink)
G. Tsontzos, V. Diakoloukas, C. Koniaris and V. Digalakis, "Estimation of General Identifiable Linear Dynamic Models with an sApplication in Speech characteristics vectors, Computer Standards & Interfaces, Volume 35, Issue 5, 2013, Pages 490-506, ISSN 0920-5489.
Y. Wu et al., "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation," arXiv preprint arXiv:1609.08144, pp. 1-23, 2016.
Shuping Peng, Tao Lv, Xiyu Han, Shisong Wu, ChunhuiYan, Heyong Zhang,Remote speaker recognition based on the enhanced LDV-captured speech, Applied Acoustics,Volume 143, 2019, Pages 165-170, ISSN 0003-682X, Article (CrossRefLink)
A. A. Varghese, J. P. Cherian and J. J. Kizhakkethottam, "Overview on emotion recognition system," 2015 International Conference on Soft-Computing and Networks Security (ICSNS), Coimbatore, 2015, pp. 1-5, Article (CrossRefLink)
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