INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Since a long time ago, emotion identification from the voice signal has been a research
issue in applications involving human-machine interfaces. Many techniques have been
developed to extract the emotions from the speech stream. This paper reviews speech emotion
recognition based on earlier technologies that employ several classifiers for emotion
recognition. The classifiers are used to distinguish between many emotions, including neutral,
happiness, sadness, and angry. Based on retrieved features, classification performance is
achieved. In a two-stage process, feature extraction and a classification engine, . First, two sets
of features are checked: the first is a 42- dimensional vector of audio features that contains 39
coefficients of the Mel Frequency Cepstral Coefficients (MFCC), the Zero Crossing Rate
(ZCR), the Harmonic to Noise Rate (HNR), and the Teager Energy Operator (TEO). And for
the second, we suggest using the Auto-Encoder approach to choose relevant parameters from
the parameters that had previously been extracted. Second, as a classifier approach, we use
Support Vector Machines (SVM) and Random Forest (RF). this paper suggests a speech signalbased emotion recognition system.
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Keywords:
Cite Article:
"SPEECH EMOTION RECOGNITION WITH DEEP LEARNING USING FUSION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.e326-e336, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306443.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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