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Mobile phone identification from speech recordings using Weighted Support Vector Machine

Research article (IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016) · cited 14× · AI/ML
academia openalex:W2569831843
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Mobile phone identification from speech recordings using Weighted Support Vector Machine

Summary

Mobile phone identification from speech recordings using Weighted Support Vector Machine is a scholarly article[1].

Key Facts

  • Mobile phone identification from speech recordings using Weighted Support Vector Machine's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Mobile phone identification from speech recordings using Weighted Support Vector Machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/mobile-phone-identification-from-speech-recordings-using-weighted-support-vector-machine
MLA “Mobile phone identification from speech recordings using Weighted Support Vector Machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mobile-phone-identification-from-speech-recordings-using-weighted-support-vector-machine.
BibTeX @misc{4ortxyz_mobile-phone-identification-from-speech-recordings-using-weighted-support-vector-machine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mobile phone identification from speech recordings using Weighted Support Vector Machine}}, year = {2026}, url = {https://4ort.xyz/entity/mobile-phone-identification-from-speech-recordings-using-weighted-support-vector-machine}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mobile phone identification from speech recordings using Weighted Support Vector Machine — https://4ort.xyz/entity/mobile-phone-identification-from-speech-recordings-using-weighted-support-vector-machine (retrieved 2026-05-24)

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