دورية أكاديمية

Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons

التفاصيل البيبلوغرافية
العنوان: Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons
المؤلفون: Lakdari, Mohamed Walid, Ahmad, Abdul Hamid, Sethi, Sarab, Bohn, Gabriel A., Clink, Dena J.
المصدر: In Ecological Informatics May 2024 80
قاعدة البيانات: ScienceDirect
الوصف
تدمد:15749541
DOI:10.1016/j.ecoinf.2023.102457