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Modelling speaker and channel variability using deep neural networks for robust speaker verification

Research article (2016 IEEE Spoken Language Technology Workshop (SLT), 2016) · cited 32× · AI/ML
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Summary

Modelling speaker and channel variability using deep neural networks for robust speaker verification is a scholarly article[1].

Key Facts

  • Modelling speaker and channel variability using deep neural networks for robust speaker verification's instance of is recorded as scholarly article[2].

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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). Modelling speaker and channel variability using deep neural networks for robust speaker verification. Retrieved May 24, 2026, from https://4ort.xyz/entity/modelling-speaker-and-channel-variability-using-deep-neural-networks-for-robust-speaker-verification
MLA “Modelling speaker and channel variability using deep neural networks for robust speaker verification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modelling-speaker-and-channel-variability-using-deep-neural-networks-for-robust-speaker-verification.
BibTeX @misc{4ortxyz_modelling-speaker-and-channel-variability-using-deep-neural-networks-for-robust-speaker-verification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modelling speaker and channel variability using deep neural networks for robust speaker verification}}, year = {2026}, url = {https://4ort.xyz/entity/modelling-speaker-and-channel-variability-using-deep-neural-networks-for-robust-speaker-verification}, note = {Accessed: 2026-05-24}}
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