Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks

Research article (2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 2022) · cited 11× · AI/ML
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Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks

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Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-cnn-lstm-speaker-identification-framework-for-evaluating-the-impact-of-face-masks
MLA “Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-cnn-lstm-speaker-identification-framework-for-evaluating-the-impact-of-face-masks.
BibTeX @misc{4ortxyz_hybrid-cnn-lstm-speaker-identification-framework-for-evaluating-the-impact-of-face-masks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-cnn-lstm-speaker-identification-framework-for-evaluating-the-impact-of-face-masks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks — https://4ort.xyz/entity/hybrid-cnn-lstm-speaker-identification-framework-for-evaluating-the-impact-of-face-masks (retrieved 2026-05-24)

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