CNN based approach for Speech Emotion Recognition Using MFCC, Croma and STFT Hand-crafted features

Research article (2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021) · cited 16× · AI/ML
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CNN based approach for Speech Emotion Recognition Using MFCC, Croma and STFT Hand-crafted features

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CNN based approach for Speech Emotion Recognition Using MFCC, Croma and STFT Hand-crafted features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CNN based approach for Speech Emotion Recognition Using MFCC, Croma and STFT Hand-crafted features. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-based-approach-for-speech-emotion-recognition-using-mfcc-croma-and-stft-hand-crafted-features
MLA “CNN based approach for Speech Emotion Recognition Using MFCC, Croma and STFT Hand-crafted features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-based-approach-for-speech-emotion-recognition-using-mfcc-croma-and-stft-hand-crafted-features.
BibTeX @misc{4ortxyz_cnn-based-approach-for-speech-emotion-recognition-using-mfcc-croma-and-stft-hand-crafted-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN based approach for Speech Emotion Recognition Using MFCC, Croma and STFT Hand-crafted features}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-based-approach-for-speech-emotion-recognition-using-mfcc-croma-and-stft-hand-crafted-features}, note = {Accessed: 2026-05-24}}
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