Rhythmic features extracted from low-frequency modulation spectra distinguish Nyishi from Adi with 84-85% classification accuracy, rising to 90.9% with SVM and 93.96% with MLP when fused with MFCC spectral features.
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Cross-Linguistic Rhythmic and Spectral Feature-Based Analysis of Nyishi and Adi: Two Under-Resourced Languages of Arunachal Pradesh
Rhythmic features extracted from low-frequency modulation spectra distinguish Nyishi from Adi with 84-85% classification accuracy, rising to 90.9% with SVM and 93.96% with MLP when fused with MFCC spectral features.