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Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals
Research article (2017 IEEE International Joint Conference on Biometrics (IJCB), 2017) · cited 15× · AI/ML
Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals
Summary
Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals is a scholarly article[1].
Key Facts
Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/extracting-sub-glottal-and-supra-glottal-features-from-mfcc-using-convolutional-neural-networks-for-speaker-identificati
MLA“Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extracting-sub-glottal-and-supra-glottal-features-from-mfcc-using-convolutional-neural-networks-for-speaker-identificati.
BibTeX@misc{4ortxyz_extracting-sub-glottal-and-supra-glottal-features-from-mfcc-using-convolutional-neural-networks-for-speaker-identificati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals}}, year = {2026}, url = {https://4ort.xyz/entity/extracting-sub-glottal-and-supra-glottal-features-from-mfcc-using-convolutional-neural-networks-for-speaker-identificati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extracting sub-glottal and Supra-glottal features from MFCC using convolutional neural networks for speaker identification in degraded audio signals — https://4ort.xyz/entity/extracting-sub-glottal-and-supra-glottal-features-from-mfcc-using-convolutional-neural-networks-for-speaker-identificati (retrieved 2026-05-24)
