Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points
Summary
Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points is a scholarly article[1].
Key Facts
Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-network-based-two-stage-indian-language-identification-system-using-glottal-closure-instants-as-anchor-point
MLA“Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-network-based-two-stage-indian-language-identification-system-using-glottal-closure-instants-as-anchor-point.
BibTeX@misc{4ortxyz_deep-neural-network-based-two-stage-indian-language-identification-system-using-glottal-closure-instants-as-anchor-point_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-network-based-two-stage-indian-language-identification-system-using-glottal-closure-instants-as-anchor-point}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points — https://4ort.xyz/entity/deep-neural-network-based-two-stage-indian-language-identification-system-using-glottal-closure-instants-as-anchor-point (retrieved 2026-05-24)