Emotional-speech recognition using the neuro-fuzzy network
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Viswanathan, M. | - |
dc.contributor.author | Zhang, Z.-X. | - |
dc.contributor.author | Tian, X.-W. | - |
dc.contributor.author | Lim, J.S. | - |
dc.date.available | 2020-02-29T06:48:26Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/16681 | - |
dc.description.abstract | Emotion recognition based on a speech signal is one of the intensively studied research topics in the domains of human-computer interaction and affective computing. The presented paper is concerned with emotional-speech recognition based on the neuro-fuzzy network with a weighted fuzzy membership function (NEWFM). NEWFM has a feature selection method and makes fuzzy classifiers. In this paper, NEWFM was utilized for classifying four kinds of emotional-speech signals. This NEWFM classification method achieves as high as 86% overall classification accuracy. Significantly, the NEWFM classifier efficiently detects sadness, with a 97.5% recognition rate. © 2012 ACM. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.relation.isPartOf | Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 | - |
dc.subject | Classification (of information) | - |
dc.subject | Feature extraction | - |
dc.subject | Fuzzy inference | - |
dc.subject | Fuzzy logic | - |
dc.subject | Fuzzy neural networks | - |
dc.subject | Fuzzy sets | - |
dc.subject | Fuzzy systems | - |
dc.subject | Human computer interaction | - |
dc.subject | Information management | - |
dc.subject | Membership functions | - |
dc.subject | Speech | - |
dc.subject | Speech analysis | - |
dc.subject | Speech communication | - |
dc.subject | Affective Computing | - |
dc.subject | Classification accuracy | - |
dc.subject | Classification methods | - |
dc.subject | Emotional Speech Recognition | - |
dc.subject | Feature selection methods | - |
dc.subject | Fuzzy classifiers | - |
dc.subject | Fuzzy membership function | - |
dc.subject | Neuro-fuzzy network | - |
dc.subject | Speech recognition | - |
dc.title | Emotional-speech recognition using the neuro-fuzzy network | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1145/2184751.2184863 | - |
dc.identifier.bibliographicCitation | Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 | - |
dc.identifier.scopusid | 2-s2.0-84860499024 | - |
dc.citation.title | Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 | - |
dc.contributor.affiliatedAuthor | Zhang, Z.-X. | - |
dc.contributor.affiliatedAuthor | Tian, X.-W. | - |
dc.contributor.affiliatedAuthor | Lim, J.S. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Emotional-speech recognition | - |
dc.subject.keywordAuthor | Feature selection | - |
dc.subject.keywordAuthor | Fuzzy classifier | - |
dc.subject.keywordAuthor | Neuro-fuzzy network | - |
dc.subject.keywordPlus | Classification (of information) | - |
dc.subject.keywordPlus | Feature extraction | - |
dc.subject.keywordPlus | Fuzzy inference | - |
dc.subject.keywordPlus | Fuzzy logic | - |
dc.subject.keywordPlus | Fuzzy neural networks | - |
dc.subject.keywordPlus | Fuzzy sets | - |
dc.subject.keywordPlus | Fuzzy systems | - |
dc.subject.keywordPlus | Human computer interaction | - |
dc.subject.keywordPlus | Information management | - |
dc.subject.keywordPlus | Membership functions | - |
dc.subject.keywordPlus | Speech | - |
dc.subject.keywordPlus | Speech analysis | - |
dc.subject.keywordPlus | Speech communication | - |
dc.subject.keywordPlus | Affective Computing | - |
dc.subject.keywordPlus | Classification accuracy | - |
dc.subject.keywordPlus | Classification methods | - |
dc.subject.keywordPlus | Emotional Speech Recognition | - |
dc.subject.keywordPlus | Feature selection methods | - |
dc.subject.keywordPlus | Fuzzy classifiers | - |
dc.subject.keywordPlus | Fuzzy membership function | - |
dc.subject.keywordPlus | Neuro-fuzzy network | - |
dc.subject.keywordPlus | Speech recognition | - |
dc.description.journalRegisteredClass | scopus | - |
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