International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
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Emotion Analysis from Voice Signals: A Machine Learning Approach
Author(s) | Ashish Singh, Abhishek Yadav, Sohib, Nagula Prabhath, Ravi Kumar Pandey, Chanan Singh |
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Country | India |
Abstract | Human speech transmits rich paralinguistic cues like emotion in addition to linguistic information. There are many uses for automatically identifying emotions from speech, including customer service, mental health evaluation, and human-computer interaction. This study investigates the extraction of emotions from voice signals using machine learning techniques. |
Keywords | Emotion analysis, speech emotion recognition (SER), affective computing, Acoustic features, prosody, spectral features, MFCCs, voice quality, linguistic features. |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 2, March-April 2024 |
Published On | 2024-04-30 |
Cite This | Emotion Analysis from Voice Signals: A Machine Learning Approach - Ashish Singh, Abhishek Yadav, Sohib, Nagula Prabhath, Ravi Kumar Pandey, Chanan Singh - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18613 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i02.18613 |
Short DOI | https://doi.org/gts4sw |
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E-ISSN 2582-2160
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