Vocal Vibes Speech Emotion Recognition using Machine Learning

Registration ID: IJNRD_217234

Published ID: IJNRD2404046

DOI: http://doi.one/10.1729/Journal.38730

Sanskruti Gaikwad , Prerana Patil , Pritesh Gadiya , Vyankatesh Khetri

Emotion , Machine Learning , Speech

One of the quickest and most natural ways for humans to communicate is through speech. Speech emotion recognition is the process of accurately anticipating a human's emotion from their speech. It improves the way people and computers communicate. Although it is tricky to annotate audio and difficult to forecast a person's sentiment because emotions are subjective, "Speech Emotion Recognition (SER)" makes this possible. Various researchers have created a variety of systems to extract the emotions from the speech stream. Speech qualities in particular are more helpful in identifying between various emotions, and if they are unclear, this is the cause of how challenging it is to identify an emotion from a speaker's speech. A variety of the datasets for speech emotions, its modelling, and types are accessible, and they aid in determining the style of speech. After feature extraction, the classification of speech emotions is a crucial component, so in this system proposal, we introduced Artificial Neural Networks (ANN model) that are utilised to distinguish emotions such as angry, disgust, Fear, happy, neutral, Sad and surprise. The proposed system model Artificial Neural Networks (ANN model) achieved training accuracy of 100% and Validation accuracy of 99%.

Published Paper   E-Certificate

Sanskruti Gaikwad, Prerana Patil, Pritesh Gadiya, & Vyankatesh Khetri (April-2024). Vocal Vibes Speech Emotion Recognition using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), a354-a357. http://doi.one/10.1729/Journal.38730

Volume 9 Issue 4, April-2024

Pages : a354-a357

Paper Reg. ID: IJNRD_217234

Published Paper Id: IJNRD2404046

Downloads: 000121993

Research Area: Engineering

Country: Baner , Pune, Maharashtra, India

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Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404046

Crossref DOI: http://doi.one/10.1729/Journal.38730

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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