D. Morri's research while affiliated with Università degli Studi di Urbino "Carlo Bo" and other places

Publications (2)

Article
The animal soundscape is a field of growing interest because of the implications it has for human–landscape interactions. Yet, it continues to be a difficult subject to investigate, due to the huge amount of information which it contains. In this contribution, the suitability of the Acoustic Complexity Index (ACI) is examined. It is an algorithm cr...

Citations

... Alpha indices used in this study include the number of frequency peaks NP [26] bioacoustic index BIO [3], normalized difference soundscape index NDSI [37], acoustic complexity index ACI [18,48], acoustic diversity index ADI [50], acoustic entropy index H [57], spectral entropy index H f [57], acoustic evenness index AEI [67], amplitude index M [11], temporal entropy index H t [58], and acoustic richness AR [11]. Beta indices used in this study include cumulative spectral dissimilarity D cf [58], spectral dissimilarity D f [61], temporal dissimilarity D t [57], acoustic dissimilarity D [58], Kolomogorov-Smirnov distance D KS [21], correlation based dissimilarity R [43], I -mutual information [8], log-spectral distance D LS [61] andrelative frequency dissimilarity S [10]. ...
... The objective of this study is to take an insight into the influence mechanism of SNR on four most commonly used AIs, i.e., the bioacoustic index (BIO) (Boelman et al., 2007), the acoustic diversity index (ADI) , the acoustic evenness index (AEI) , and the acoustic complexity index (ACI) (Pieretti et al., 2011). Furthermore, we also presented preliminary ideas to improve the robustness of these AIs, which will be explored in the future. ...