Emotion Analysis from Voice Signals: A Machine  Learning Approach

Author(s)	Ashish Singh, Abhishek Yadav, Sohib, Nagula Prabhath, Ravi Kumar Pandey, Chanan Singh
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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