Labeled frog-call dataset of Yasuní National Park for training Machine Learning algorithms
| Main Author: | Estrella Terneux, Andrés |
|---|---|
| Other Authors: | QCAZ, Museo de Zoología, Nicolalde, Damián, Nicolalde, Daniel, Padilla, Samael |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/5j852hzfjs |
| ctrlnum |
0.17632-5j852hzfjs.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Estrella Terneux, Andrés</creator><title>Labeled frog-call dataset of Yasuní National Park for training Machine Learning algorithms</title><publisher>Mendeley</publisher><description>Labeled dataset of frog calls recorded at Yasuní National Park using directional and omni-directional microphones. We trained a Bayesian classifier with Gaussian Mixture Models and applied it to study the audio in Unidentified Long Recordings. The results of the analysis are in the related article. We showed that the application of a frog-call recognition algorithm allows the estimation of presence-absence of the trained subset of species in real-world recordings of an actual amphibian monitoring made in the wild.</description><subject>Amphibians</subject><subject>Machine Learning</subject><subject>Bioacoustics</subject><subject>Soundscapes</subject><subject>Classifier Evaluation</subject><contributor>QCAZ, Museo de Zoología</contributor><contributor>Nicolalde, Damián</contributor><contributor>Nicolalde, Daniel</contributor><contributor>Padilla, Samael</contributor><type>Other:Dataset</type><identifier>10.17632/5j852hzfjs.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/5j852hzfjs</relation><date>2019-01-15T19:24:04Z</date><recordID>0.17632-5j852hzfjs.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Estrella Terneux, Andrés |
| author2 |
QCAZ, Museo de Zoología Nicolalde, Damián Nicolalde, Daniel Padilla, Samael |
| title |
Labeled frog-call dataset of Yasuní National Park for training Machine Learning algorithms |
| publisher |
Mendeley |
| publishDate |
2019 |
| topic |
Amphibians Machine Learning Bioacoustics Soundscapes Classifier Evaluation |
| url |
https:/data.mendeley.com/datasets/5j852hzfjs |
| contents |
Labeled dataset of frog calls recorded at Yasuní National Park using directional and omni-directional microphones. We trained a Bayesian classifier with Gaussian Mixture Models and applied it to study the audio in Unidentified Long Recordings. The results of the analysis are in the related article. We showed that the application of a frog-call recognition algorithm allows the estimation of presence-absence of the trained subset of species in real-world recordings of an actual amphibian monitoring made in the wild. |
| id |
IOS7969.0.17632-5j852hzfjs.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:30:20Z |
| last_indexed |
2020-04-08T08:30:20Z |
| recordtype |
dc |
| _version_ |
1686587755969118208 |
| score |
17.538404 |