Sep 18, 2020 · In this study, we proposed Cepstral coefficients based on evolutionary filterbanks as emotional features.
The proposed method using evolutionary-based Cepstral coefficients achieved a weighted average recall of 87.29% on the Berlin database while the same approach ...
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Recognition of emotion from speech using evolutionary cepstral coefficients ... using intelligent sensors for speech emotion recognition. Chandupatla ...
This task is usually accomplished using one of several different signal processing techniques such as filterbanks, linear prediction or cepstrum analysis [1].
Jul 9, 2018 · In this paper, we propose a strategy for emotion recognition from speech by combining evolutionary algorithm (EA) with Empirical Mode ...
Recognition of emotion from speech using evolutionary cepstral coefficients.
The most commonly used speech representation are the mel-frequency cepstral coefficients, which incorporate biologically inspired characteristics into ...
Jan 14, 2021 · In this paper, we propose a speech emotion recognition method based on Mel-frequency Cepstral coefficients (MFCC) and broad learning network.
To improve the recognition accuracy of speech emotion, we extract mel-frequency cepstral coefficients (MFCCs) and pitch features from raw signals, and an ...
Jul 31, 2024 · This paper introduces a SER system based on gender. First, gender and emotion features are extracted from speech signals to develop gender recognition and ...