Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life Speech
Extracting the data from real-life speech and recognizing emotions from them is one of the challenging tasks. This has gained popularity over the past few years. The goal of this study is to have a direct human-computer interaction (HCI) to determine the person’s condition or emotion through analyzi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2023-05-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/volume-33/acm33/files/zzAnj.pdf |
| _version_ | 1797807517652221952 |
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| author | Eshwari Rao K P Anjan S Nagabhushan T N Kirill Krinkin Yulia Schichkina |
| author_facet | Eshwari Rao K P Anjan S Nagabhushan T N Kirill Krinkin Yulia Schichkina |
| author_sort | Eshwari Rao K P |
| collection | DOAJ |
| description | Extracting the data from real-life speech and recognizing emotions from them is one of the challenging tasks. This has gained popularity over the past few years. The goal of this study is to have a direct human-computer interaction (HCI) to determine the person’s condition or emotion through analyzing voice. The main purpose of this study is to extract emotion from the recorded audio as well as from the analysis of text extracted from the audio which is integrated together in a precise manner. The multimodal integration of speech and text gives good results by observing the emotional state of a person. Machine learning and deep learning algorithms are used to determine the emotional state of a person. The result of this study shows the accuracy around 62%. |
| first_indexed | 2024-03-13T06:23:45Z |
| format | Article |
| id | doaj.art-6974cb850b5040f0b9becc40c183d7c4 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-03-13T06:23:45Z |
| publishDate | 2023-05-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-6974cb850b5040f0b9becc40c183d7c42023-06-09T11:41:51ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372023-05-0133241541710.5281/zenodo.8005393Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life SpeechEshwari Rao K P0Anjan S1Nagabhushan T N2Kirill Krinkin3Yulia Schichkina4NANAEast West Group of Institutionskrinkin.comETUExtracting the data from real-life speech and recognizing emotions from them is one of the challenging tasks. This has gained popularity over the past few years. The goal of this study is to have a direct human-computer interaction (HCI) to determine the person’s condition or emotion through analyzing voice. The main purpose of this study is to extract emotion from the recorded audio as well as from the analysis of text extracted from the audio which is integrated together in a precise manner. The multimodal integration of speech and text gives good results by observing the emotional state of a person. Machine learning and deep learning algorithms are used to determine the emotional state of a person. The result of this study shows the accuracy around 62%.https://www.fruct.org/publications/volume-33/acm33/files/zzAnj.pdfspeech emotion recognitionnatural language processingmachine learning |
| spellingShingle | Eshwari Rao K P Anjan S Nagabhushan T N Kirill Krinkin Yulia Schichkina Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life Speech Proceedings of the XXth Conference of Open Innovations Association FRUCT speech emotion recognition natural language processing machine learning |
| title | Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life Speech |
| title_full | Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life Speech |
| title_fullStr | Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life Speech |
| title_full_unstemmed | Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life Speech |
| title_short | Enhancing Human-Computer Interaction through Emotion Recognition in Real-Life Speech |
| title_sort | enhancing human computer interaction through emotion recognition in real life speech |
| topic | speech emotion recognition natural language processing machine learning |
| url | https://www.fruct.org/publications/volume-33/acm33/files/zzAnj.pdf |
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