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Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier
Research article (2023 Second International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON), 2023) · cited 10× · AI/ML
Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier
Summary
Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier is a scholarly article[1].
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Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/speaker-identification-using-mfcc-feature-extraction-a-comparative-study-using-gmm-cnn-rnn-knn-and-random-forest-classif
MLA“Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/speaker-identification-using-mfcc-feature-extraction-a-comparative-study-using-gmm-cnn-rnn-knn-and-random-forest-classif.
BibTeX@misc{4ortxyz_speaker-identification-using-mfcc-feature-extraction-a-comparative-study-using-gmm-cnn-rnn-knn-and-random-forest-classif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier}}, year = {2026}, url = {https://4ort.xyz/entity/speaker-identification-using-mfcc-feature-extraction-a-comparative-study-using-gmm-cnn-rnn-knn-and-random-forest-classif}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Speaker Identification Using MFCC Feature Extraction : A Comparative Study Using GMM, CNN, RNN, KNN and Random Forest Classifier — https://4ort.xyz/entity/speaker-identification-using-mfcc-feature-extraction-a-comparative-study-using-gmm-cnn-rnn-knn-and-random-forest-classif (retrieved 2026-05-24)
