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Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons
Research article (Ecological Informatics, 2024) · cited 26× · AI/ML
Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons
Summary
Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons is a scholarly article[1].
Key Facts
Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons. Retrieved May 24, 2026, from https://4ort.xyz/entity/mel-frequency-cepstral-coefficients-outperform-embeddings-from-pre-trained-convolutional-neural-networks-under-noisy-con
MLA“Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mel-frequency-cepstral-coefficients-outperform-embeddings-from-pre-trained-convolutional-neural-networks-under-noisy-con.
BibTeX@misc{4ortxyz_mel-frequency-cepstral-coefficients-outperform-embeddings-from-pre-trained-convolutional-neural-networks-under-noisy-con_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons}}, year = {2026}, url = {https://4ort.xyz/entity/mel-frequency-cepstral-coefficients-outperform-embeddings-from-pre-trained-convolutional-neural-networks-under-noisy-con}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons — https://4ort.xyz/entity/mel-frequency-cepstral-coefficients-outperform-embeddings-from-pre-trained-convolutional-neural-networks-under-noisy-con (retrieved 2026-05-24)
