Kernel Metadata Declaration — on demand
ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.
✓ Meets every rule of the format
The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.
What the DOI identifies
Speech Emotion Recognition Methods
10.46243/jstj.2018.v3.i2.162 · JournalArticle — an article in a journal · Digital · Visual · Language · en
Published 2018-03-01
Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 03 · no. 02 · pp. 18–20
Principal agents
- B.Kishore Babu (author → Author)
- T Annamani (author → Author)
- Longman Publishers (publisher → Publisher)
Also in the record, outside the Kernel: the abstract, the licence, 4 links, 9 references. Source: Crossref (member 25296), registered 2026-09-07, last deposited 2026-09-20.
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.
| DOI Name DOI name | 10.46243/jstj.2018.v3.i2.162 |
| Referent Type referentType | Creation |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal |
| Referent Name(s) referentName(s) | Speech Emotion Recognition Methods (PrincipalTitle, en) |
| Basic Metadata basicMetadata | author: B.Kishore Babu author: T Annamani publisher: Longman Publishers published: 2018-03-01 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 03 · no. 02 · pp. 18–20 language: en form: Digital · Visual · Language |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy |
| Created Date issueDate | 2026-09-07 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
{
"format": "smartscholars-doi-metadata/1.0",
"doi": "10.46243/jstj.2018.v3.i2.162",
"referent": "Creation",
"type": "JournalArticle",
"structural_type": "Digital",
"modes": [
"Visual"
],
"characters": [
"Language"
],
"titles": [
{
"value": "Speech Emotion Recognition Methods",
"type": "PrincipalTitle",
"lang": "en"
}
],
"identifiers": [
{
"type": "DOI",
"value": "10.46243/jstj.2018.v3.i2.162"
}
],
"agents": [
{
"role": "author",
"name": {
"given": "B.Kishore",
"family": "Babu"
},
"sequence": "first"
},
{
"role": "author",
"name": {
"given": "",
"family": "T Annamani"
},
"sequence": "additional"
},
{
"role": "publisher",
"name": {
"org": "Longman Publishers"
}
}
],
"dates": {
"published": "2018-03-01",
"date_type": "PublicationDate",
"online": "2018-03-01"
},
"language": "en",
"container": {
"type": "Journal",
"titles": [
{
"value": "Journal of Science & Technology",
"type": "PrincipalTitle"
}
],
"identifiers": [
{
"type": "ISSN",
"value": "2456-5660",
"medium": "electronic"
}
],
"volume": "03",
"issue": "02",
"pages": {
"first": "18",
"last": "20"
}
},
"links": [
{
"url": "https://www.jst.org.in/index.php/pub/article/view/162",
"return_type": "text/html",
"primary": true
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/162/141",
"purpose": "text-mining",
"return_type": "application/pdf"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/162/3404",
"purpose": "text-mining",
"return_type": "application/xml"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/view/162/141",
"purpose": "similarity-checking"
}
],
"abstract": {
"value": "Speech Emotion Recognition is a current topic of research since it has wide range of applications. Speech Emotion Recognition is a vital part of affective human interaction and has become a new challenge to speech processing. The work presented in this paper focus on study of various speech emotions recognition methods.",
"lang": "en"
},
"license": {
"url": "https://creativecommons.org/licenses/by/4.0/",
"start": "2018-03-01",
"applies_to": "vor"
},
"references": [
{
"key": "ref1",
"doi": "10.1016/j.patcog.2010.09.020",
"unstructured": "Ayadi M. E., Kamel M. S. and Karray F., „Survey on Speech Emotion Recognition: Features, Classification Schemes, and Databases‟, Pattern Recognition, 44(16), 572-587, 2011"
},
{
"key": "ref2",
"doi": "10.1109/iciecs.2009.5362730",
"unstructured": "Zhou y., Sun Y., Zhang J, Yan Y., \"Speech Emotion Recognition using Both Spectral and Prosodic Features\", IEEE, 23(5), 545-549, 2009"
},
{
"key": "ref3",
"doi": "10.5120/431-636",
"unstructured": "Yashpalsing Chavhan, M. L. Dhore, Pallavi Yesaware, “Speech Emotion Recognition Using Support Vector Machine”, International Journal of Computer Applications, vol.1, pp.6-9,February 2010"
},
{
"key": "ref4",
"doi": "10.1109/csie.2009.113",
"unstructured": "Xia Mao, Lijiang Chen, Liqin Fu, “Multi-level Speech Emotion Recognition Based on HMM and ANN”, 2009 WRI World Congress, Computer Science and Information Engineering, pp.225-229, March 2009"
},
{
"key": "ref5",
"unstructured": "Yixiong Pan, Peipei Shen and Liping Shen, “Speech Emotion Recognition Using Support Vector Machine”, International Journal of Smart Home, Vol. 6, No. 2, April, 2012. [6][Online].Available: http://crteknologies.fr/projects/emospeech/"
},
{
"key": "ref6",
"doi": "10.1109/icassp.2004.1326055",
"unstructured": "D. Ververidis, C. Kotropoulos, and I. Pitas, “Automatic emotional speech classification”, in Proc. 2004 IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. 1, pp. 593-596, Montreal, May 2004"
},
{
"key": "ref7",
"doi": "10.1007/3-540-45453-5_71",
"unstructured": "F.Yu, E.Chang, Y.Xu, H.Shum, “Emotion detection from speech to enrich multimedia content”, Lecture Notes In Computer Science,Vol.2195, 550-557, 2001"
},
{
"key": "ref8",
"doi": "10.1109/icpr.2006.780",
"unstructured": "T.-L. Pao, Y.-T. Chen, J.-H. Yeh, P.-J. Li, “Mandarin emotional speech recognition based on SVM and NN”, Proceedings of the 18th International Conference on Pattern Recognition (ICPR?06), vol. 1, pp. 1096- 1100,September 2006"
},
{
"key": "ref9",
"doi": "10.1109/icassp.2003.1202279",
"unstructured": "B. Schuller, G. Rigoll, M. Lang, “Hidden Markov model-based speech emotion recognition”, Proceedings of the IEEE ICASSP Conference on Acoustics,Speech and Signal Processing, vol.2, pp. 1-4, April 2003"
}
],
"record": {
"registrant": "Longman Publishers",
"registered": "2026-09-07",
"updated": "2026-09-20",
"issue_number": 1,
"source": "crossref-api",
"source_agency": "Crossref (member 25296)"
}
}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
<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
<referentDoiName>10.46243/jstj.2018.v3.i2.162</referentDoiName>
<primaryReferentType>Creation</primaryReferentType>
<registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
<issueDate>2026-10-04</issueDate>
<issueNumber>1</issueNumber>
<referentCreation>
<name primaryLanguage="en">
<value>Speech Emotion Recognition Methods</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>10.46243/jstj.2018.v3.i2.162</nonUriValue>
<uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jstj.2018.v3.i2.162</uri>
<type>DOI</type>
</identifier>
<identifier>
<uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/162</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/download/162/141</uri>
<type>URI</type>
</identifier>
<identifier>
<uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/162/3404</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/view/162/141</uri>
<type>URI</type>
</identifier>
<structuralType>Digital</structuralType>
<mode>Visual</mode>
<character>Language</character>
<type>JournalArticle</type>
<principalAgent>
<name>
<value>B.Kishore Babu</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>T Annamani</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Longman Publishers</value>
<type>PrincipalName</type>
</name>
<role>Publisher</role>
</principalAgent>
<linkedCreation>
<name>
<value>Journal of Science & Technology</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>2456-5660</nonUriValue>
<type>ISSN</type>
</identifier>
<referentCreationRole>Part</referentCreationRole>
<referentCreationSequenceIdentifier>
<value>03</value>
<type>VolumeNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>02</value>
<type>IssueNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>18-20</value>
<type>PageNumber</type>
</referentCreationSequenceIdentifier>
</linkedCreation>
<language>en</language>
<languageOfReferentContent>
<language>en</language>
<languageOfReferentContentType>Original</languageOfReferentContentType>
</languageOfReferentContent>
<creationDate>
<date>2018-03-01</date>
<creationDateType>PublicationDate</creationDateType>
</creationDate>
</referentCreation>
</kernelMetadata>
