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Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC

Research article (International journal of electrical and computer engineering systems, 2023) · cited 11× · AI/ML
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Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC

Summary

Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC is a scholarly article[1].

Key Facts

  • Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC'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). Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC. Retrieved May 24, 2026, from https://4ort.xyz/entity/amazigh-spoken-digit-recognition-using-a-deep-learning-approach-based-on-mfcc
MLA “Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/amazigh-spoken-digit-recognition-using-a-deep-learning-approach-based-on-mfcc.
BibTeX @misc{4ortxyz_amazigh-spoken-digit-recognition-using-a-deep-learning-approach-based-on-mfcc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC}}, year = {2026}, url = {https://4ort.xyz/entity/amazigh-spoken-digit-recognition-using-a-deep-learning-approach-based-on-mfcc}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Amazigh Spoken Digit Recognition using a Deep Learning Approach based on MFCC — https://4ort.xyz/entity/amazigh-spoken-digit-recognition-using-a-deep-learning-approach-based-on-mfcc (retrieved 2026-05-24)

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