Emotion Recognition in Speech by Multimodal Analysis of Audio and Text-Reference-Cited by-同舟云学术

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Emotion Recognition in Speech by Multimodal Analysis of Audio and Text

Published:2023-01-19 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

Shah Siddhant Bikram¹,Garg Shubham²,Bourazeri Aikaterini³

Affiliation:

1. Delhi Technological University,Computer Science and Engineering,New Delhi,India

2. Amity University,Computer Science and Engineering,Noida,Uttar Pradesh,India

3. University of Essex,Computer Science and Electronic Engineering,Colchester,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10048789/10048790/10048872.pdf?arnumber=10048872

Reference27 articles.

1. Speech2Emotion: Intensifying Emotion Detection Using MLP through RAVDESS Dataset

2. A voice-based real-time emotion detection technique using recurrent neural network empowered feature modelling

3. Speech based Emotion Recognition and Gender Identification using FNN and CNN Models

4. Topic Model Based Opinion Mining and Sentiment Analysis

5. Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention

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