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Automatic spoken language identification using MFCC based time series features

Research article (Multimedia Tools and Applications, 2022) · cited 43× · AI/ML
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Automatic spoken language identification using MFCC based time series features

Summary

Automatic spoken language identification using MFCC based time series features is a scholarly article[1].

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  • Automatic spoken language identification using MFCC based time series features's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Automatic spoken language identification using MFCC based time series features. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-spoken-language-identification-using-mfcc-based-time-series-features
MLA “Automatic spoken language identification using MFCC based time series features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-spoken-language-identification-using-mfcc-based-time-series-features.
BibTeX @misc{4ortxyz_automatic-spoken-language-identification-using-mfcc-based-time-series-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic spoken language identification using MFCC based time series features}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-spoken-language-identification-using-mfcc-based-time-series-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic spoken language identification using MFCC based time series features — https://4ort.xyz/entity/automatic-spoken-language-identification-using-mfcc-based-time-series-features (retrieved 2026-05-24)

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