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Image Search Results
Journal: Nature Communications
Article Title: Spectro-temporal acoustical markers differentiate speech from song across cultures
doi: 10.1038/s41467-024-49040-3
Figure Lengend Snippet: A Song vs. Speech contrast (two-tailed) in the STM domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal modulation domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Article Snippet: We decomposed the acoustical signal of the vocalization samples using the
Techniques: Two Tailed Test, Plasmid Preparation
Journal: Nature Communications
Article Title: Spectro-temporal acoustical markers differentiate speech from song across cultures
doi: 10.1038/s41467-024-49040-3
Figure Lengend Snippet: A R values in the STM domain for the correlation between fitted responses (PLS) and observed responses (STM) (FDR corrected in the spectral and temporal modulation domains, p < 0.05, two-tailed). Dark lines illustrate the boundaries of the significant effects presented in (Fig. ). B , C Left Panels: Scatter plot of fitted responses (PLS) and observed responses (STM) for the spectral (see letter (S) in ( A ), statistical peak ( B ), and temporal (see letter (T) in ( A ) statistical peak ( C )). Circles represents each speakers/vocalization ( n = 369), two-tailed, all ps < 0.001. Right panels: VIP scores: the horizontal bars show the acoustic features with the largest influence in the PLS. D Fieldsite-wise cross-validated ( n = 21 independent societies) support vector machine decoding accuracy (chance level: 50%) for four alternative strategies with STM features only (white), STM + acoustical features (black), Acoustical features only (gray) and Acoustical features without VIP variables (light gray). The colored dots (jet colormap sorted as a function of accuracy for the model trained with STM features only) represent the accuracy for each society. ** p < 0.001, ns non-significant, post hoc pairwise comparisons were two-tailed, Bonferroni corrected.
Article Snippet: We decomposed the acoustical signal of the vocalization samples using the
Techniques: Two Tailed Test, Plasmid Preparation