Speaker Independent Automatic Emotion Recognition from Speech: A Comparison of MFCCs and Discrete Wavelet Transforms

Author:

A. Firoz Shah,V.R. Vimal Krishnan,A. Raji Sukumar,Jayakumar Athulya,P. Babu Anto

Publisher

IEEE

Cited by 11 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 System Using Discrete Wavelet Transform and Support Vector Machine;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

2. Predicting Emotional Valence of People Living with the Human Immunodeficiency Virus Using Daily Voice Clips: A Preliminary Study;Healthcare;2021-09-02

3. Comparative Analysis of Dimension Reduction Techniques Over Classification Algorithms for Speech Emotion Recognition;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020

4. Interactive feature extraction for diagnostic trouble codes in predictive maintenance;Proceedings of the Workshop on Interactive Data Mining - WIDM'19;2019

5. Improving the performance of the speaker emotion recognition based on low dimension prosody features vector;International Journal of Speech Technology;2018-12-05

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