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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) |
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| Paper Title: | SPEECH EMOTION RECOGNITION WITH DEEP LEARNING USING FUSION |
| Authors Name: | Singathi Sreeja , Nagunoori Krishna chetan , Kokkula Sandhya , Nallavelli Manohari , Thurpati sammaiah |
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IJNRD_200047
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| Published Paper Id: | IJNRD2306443 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | 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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| 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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Published Paper ID:IJNRD2306443 Registration ID: 200047 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: e326-e336 Country: karimnagar, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306443 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306443 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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