Kernel Metadata Declaration — on demand

What the DOI identifies

Devanagari Script using Energy of Speech Signal

10.46243/jst.2021.v6.i1.pp167-171 · JournalArticle — an article in a journal · Digital · Visual · Language · en

Published 2021

Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 01 · pp. 167–171

Principal agents

• J.Sneha Latha (author → Author)
• G.Usha Rani (author → Author)
• Longman Publishers (publisher → Publisher)

Also in the record, outside the Kernel: the abstract, the licence, 4 links, 11 references. Source: Crossref (member 25296), registered 2026-09-23, last deposited 2026-09-27.

⬇ Record (JSON) ⬇ Declaration (XML)

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name and the Handbook's (in grey), read off the record.

The record

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    "abstract": {
        "value": "The voiced-unvoiced decision is often used in speech analysis to extract information from speech signals. Voiced and unvoiced components of speech were separated using two approaches in this study. ZCR and energy are the terms used to describe these concepts. Using the zero crossing rate and energy estimates, we were able to differentiate the voiced and unvoiced sections of the speech in this study. As a consequence of these findings, it seems that zero crossing rates for voiced and unvoiced parts are different, with the former having a higher energy level and the latter having a lower one. Because of this, they have been shown to be more adept in separating spoken and unspoken language. Devnagari script, zero crossing rate, and voice signal energy are among the key terms",
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            "unstructured": "Bachu R.G., Kopparthi S., Adapa B., Barkana B.D.Separation of Voiced and Unvoiced using Zero crossing rate and Energy of the Speech Signal"
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            "doi": "10.46243/jst.2021.v6.i1.pp167-171",
            "unstructured": "Jong Kwan Lee, Chang D. Yoo, “Wavelet speech enhancement based on voiced/unvoiced decision”,Korea Advanced Institute of Science and Technology The 32nd International Congress and Exposition on Noise Control Engineering, Jeju International Convention Center, Seogwipo, Korea,August 25-28, 2003. 170 | 5 Journal of Science and Technology ISSN: 2456-5660 Volume 6, Issue 1, Jan-February 2021 www.jst.org.in DOI: https://doi.org/10.46243/jst.2021.v6.i1.pp167-171"
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            "key": "ref3",
            "doi": "10.1109/tassp.1976.1162800",
            "unstructured": "B. Atal, and L. Rabiner, “A Pattern Recognition Approach to Voiced-Unvoiced-Silence Classification with Applications to Speech Recognition,” IEEE Trans. On ASSP, vol. ASSP-24, pp. 201-212, 1976. [3] S. Ahmadi, and A.S. Spanias, “Cepstrum-Based Pitch Detection using a New Statistical V/UV Classification Algorithm,” IEEE Trans. Speech Audio Processing, vol. 7 No. 3, pp. 333- 338, 1999"
        },
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            "doi": "10.1109/89.222883",
            "unstructured": "Y. Qi, and B.R. Hunt, “Voiced-Unvoiced-Silence Classifications of Speech using Hybrid Features and a Network Classifier,” IEEE Trans. Speech Audio Processing, vol. 1 No. 2, pp. 250-255, 1993"
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            "doi": "10.1109/tassp.1979.1163186",
            "unstructured": "L. Siegel, “A Procedure for using Pattern Classification Techniques to obtain a Voiced/Unvoiced Classifier”, IEEE Trans. on ASSP, vol. ASSP-27, pp. 83- 88, 1979"
        },
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            "key": "ref6",
            "unstructured": "T.L. Burrows, “Speech Processing with Linear and Neural Network Models”, Ph.D. thesis, Cambridge University Engineering Department, U.K., 1996"
        },
        {
            "key": "ref7",
            "doi": "10.1109/29.46561",
            "unstructured": "D.G. Childers, M. Hahn, and J.N. Larar, “Silent and Voiced/Unvoiced/Mixed Excitation (Four-Way) Classification of Speech,” IEEE Trans. on ASSP, vol. 37 No. 11, pp. 1771-1774, 1989"
        },
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            "key": "ref8",
            "unstructured": "Jashmin K. Shah, Ananth N. Iyer, Brett Y. Smolenski, and Robert E. Yantorno “Robust voiced/unvoiced classification using novel features and Gaussian Mixture model”, Speech Processing Lab., ECE Dept., Temple University, 1947 N 12th St., Philadelphia, PA 19122-6077, USA"
        },
        {
            "key": "ref9",
            "unstructured": "Jaber Marvan, “Voice Activity detection Method and Apparatus for voiced/unvoiced decision and Pitch Estimation in a Noisy speech feature extraction”, 08/23/2007, United States Patent 20070198251"
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            "key": "ref10",
            "unstructured": "Thomas F. Quatieri, Discrete-Time Speech Signal Processing: Principles and Practice, MIT Lincoln Laboratory, Lexington, Massachusetts, Prentice Hall, ISBN-13:9780132429429"
        },
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            "key": "ref11",
            "unstructured": "Rabiner, L. R., and Schafer, R. W., Digital Processing of Speech Signals, Englewood Cliffs, New Jersey, Prentice Hall, 512-ISBN- 13:9780132136037, 1978. Short Biographies of the Authors: Rajesh G. Bachu is Graduate Assistant in Electrical Engineering at the University of Bridgeport, Bridgeport, CT 171 | 5"
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        "issue_number": 1,
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        "source_agency": "Crossref (member 25296)"
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The Kernel Metadata Declaration

DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation

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