SEEWAVE, A FREE MODULAR TOOL FOR SOUND ANALYSIS AND SYNTHESIS
By Jérôme Sueur, Thierry Aubin, C. Simonis. 2008
1,229 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/bf6d09c89ab248e6919baab2ced433ebfbf895ed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Bryan C. Pijanowski
- A. McElligott
- E. Briefer
- Sandrine Pavoine
- Luis J. Villanueva-Rivera
- Jérôme Sueur
- Nadia Pieretti
- Simon C. Griffith
Citations in the corpus
- Avian soundscapes and cognitive landscapes: theory, application and ecological perspectives (2011, methodology): “This technology, coupled with dedicated software (e.g., Seewave; Sueur et al. 2008b) and a robust metric like the ACI (Pieretti et al. 2011) and other derivative indexes like the Niche Acoustic Breadth and Overlap and the Shannon entropy, is the essential premise for a longterm plan of…”
- Future directions for soundscape ecology: The importance of ornithological contributions (2016, methodology): “…Society Downloaded From: https://bioone.org/journals/The-Auk on 19 Apr 2020 Terms of Use: https://bioone.org/terms-of-use (Sueur et al. 2014) and integrated in software such as the R packages ‘‘seewave’’ (Sueur et al. 2008a) and ‘‘soundecology’’ (Villanueva-Rivera and Pijanowski 2015).”
- A primer of acoustic analysis for landscape ecologists (2011, methodology): “Seewave can also save the data of the spectrogram as a numeric matrix with amplitude values by setting the value of plot in the function spectro() to false—saving the values as a matrix.”
- Monitoring temporal change of bird communities with dissimilarity acoustic indices (2014, methodology): “A first attempt to compare the acoustic output of acoustic communities wasmade by subtracting pairs of amplitude envelopes and average frequency spectra, respectively (Sueur et al. 2008b).”
- Rapid Acoustic Survey for Biodiversity Appraisal (2008, methodology): “H and D indexes were computed by writing specific R functions specifically implemented in the free package seewave [50].”
- Social effects on vocal ontogeny in an ungulate, the goat, Capra hircus (2012, methodology): “We used Praat v.5.0.47 DSP Package (Boersma & Weenink 2009) and Seewave (Sueur et al. 2008) for subsequent analyses.”
- Vocal communication at the nest between mates in wild zebra finches: a private vocal duet? (2010, methodology): “Spectrograms were prepared using the Seewave package (Sueur et al. 2008) in”
- Acoustic indices for biodiversity assessments: Analyses of bias based on simulated bird assemblages and recommendations for field surveys (2015, neutral): “…spectral entropy, Hf (Sueur et al., 2008a); (2) temporal entropy, Ht (Sueur et al., 2008a); (3) acoustic entropy, H, which is composed of Hf and Ht (Sueur et al., 2008a); (4) the acoustic complexity index, ACI (Pieretti et al., 2011); (5) the signal magnitude, M (Depraetere et al., 2012); (6) the…”