Author:
Sandesara Anushka,Parikh Shilpi,Sapovadiya Pratyay,Rahevar Mrugendrasinh
Abstract
Today's world has been "Chatting" with the machines for a long time. With the first known research paper by Daellert et. al on this topic, we can say that discussions on Speech Emotion Recognition technology have been there for such a long time and have been evolving and increasing its applications in our life. Although worthy of these many applications, speech emotion recognition is a challenging task as emotion is a subjective thing. Not all humans are the same, each human deals differently with emotions. There are no common criteria or steps to categorize emotions. Forget computers, even we humans at times fail to read the emotions behind the other person. This paper provides the list of some speech emotion recognition methods and a glimpse of method used.
Publisher
Sroha Publishing Pvt. Ltd
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Speech Emotion Recognition on RAVDESS Dataset using Deep Learning;2024 5th International Conference for Emerging Technology (INCET);2024-05-24
2. Multi-channel CNN-based emotion recognition using recurrence plot representations of speech;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
3. A Robust Speech Emotion Detection Mechanism Using Supervised Deep Learning Paradigms;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02
4. Automatic Emotion Recognition System using tinyML;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25
5. Development and Analysis of Convolutional Neural Network based Accurate Speech Emotion Recognition Models;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24