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Fig. 15 Harmonic richness factor (HRF) shift versus normalized amplitude quotient (NAQ) shift for each speaker across the entire corpus.
These two are correlated, with a correlation value of r = −0.53 Fig. 14 Harmonic richness factor (HRF) versus fundamental Frequency (F0) for each speaker across the entire corpus.
While there was less separation across speech types for the H1 H2 ratio, the harmonic richness factor was lower for soft speech.
Fig. 7 The normalized amplitude quotient (NAQ) across entire corpus Fig. 8 The harmonic richness factor (HRF) across entire corpus Fig. 9 The normalized amplitude quotient (NAQ) for the single female speaker (FJF3) Fig. 10 The harmonic richness factor (HRF) for the single female speaker (FJF3).
The harmonic richness factor (HRF) is the ratio of the sum of the amplitudes at the harmonics in the glottal waveform to the amplitude of the component at the fundamental frequency [36].
Drugman et al. [40] showed that NAQ, H1H2 ratio, and harmonic richness factor (HRF) measured for soft, modal, and loud speech resulted in significantly different distributions in these parameters for a corpus of a single speaker.
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The criteria for the sustainable transportation thus can be: 1) the extent of satisfying transportation demand, the technical and commercial feasibility of the transportation technology, etc. (i.e. economic objectives); 2) the production and regeneration functions, etc. (i.e. environmental objectives); and 3) cultural richness, institutional factors, social equity, etc. (i.e. social objectives).
These systems may be profoundly influenced by human decisions at multiple spatial and temporal scales, and the limitations of traditional process-level ecosystems modeling approaches for representing the richness of factors shaping landscape dynamics in these coupled systems has resulted in the need for new analysis approaches.
Hence, while productivity correlates with maximum species richness, unrelated factors determine actual richness at or below that level.
As with allelic richness, a single factor anova failed to identify significant differences in gene diversity (Table 2) among years (P = 0.083), with no pattern in variation over time.
Our results demonstrate the positive effects of ant diversity for predatory function, and that promoting pest control services within coffee agroecosystems may be best accomplished by manipulating ant abundance and richness, or vegetation factors that correlate with ants.
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