International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

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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