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3 results for “Nomascus hainanus”
Hainan gibbon (Nomascus hainanus) bioacoustics dataset for machine learning
<p>Data accompanying the paper: "<strong>Empowering Deep Learning Acoustic Classifiers with Human-like Ability to Utilize Contextual Information for Wildlife Monitoring</strong>"</p> <p>We provide the audio data (.wav) used to test our neural network classifier along with the corresponding labelled text files (.svl). The audio and labelled files can easily be viewed in Sonic Visualiser. Drag and drop the audio file. Create the spectrogram layer. Drag and drop the corresponding .svl file.</p> <p>The dataset provided here is a subset of the full dataset provided here: 10.5281/zenodo.3991714. This dataset has additional files that were manually annotated, which were not manually verified in the original version (10.5281/zenodo.3991714).</p> <p><strong>Files provided</strong></p> <ul> <li><strong>Audio_x.zip</strong> -- we provide x number of .zip files containing audio files, numbered 1 to 4. These were created in batches to simplify downloads.</li> <li><strong>Annotations.zip -</strong>- .svl files which contain the manually verified labels. These files can be read in Sonic Visualiser, or as .XML files in a programming language. We took care to annotate the start and stop time of each gibbon call. The height of each bounding box is not important as the frequency range of Hainan gibbons is already known.</li> <li><strong>model_weights_tensorflow.hdf5 </strong>-- the Tensorflow model. Load the model using: model = tf.keras.models.load_model(model_filepath) note that the model expects a three channel input as explained in the research article.</li> </ul>
Hainan gibbons (Nomascus hainanus) calls for passive acoustic monitoring
<p><em>This dataset extends an existing one (10.5281/zenodo.3991714).</em></p> <p>Data accompanying the paper: "Passive Acoustic Monitoring and Transfer Learning"</p> <p><strong>Please cite this dataset as:</strong></p> <blockquote> <p>Dufourq, Emmanuel and Batist, Carly and Foquet, Ruben and Durbach, Ian. (2022). Passive Acoustic Monitoring and Transfer Learning. BioRxiv doi: </p> </blockquote> <p>This dataset contains approximately 10 hours of audio that contained calls of the critically endangered Hainan gibbons (Nomascus hainanus). The audio data was collected in the Bawangling National Nature Reserve, Malawi using 8 Song Meter SM3 recorders. The sampling rate was set to 9,600Hz and the recordings were collected between March to August 2016.</p> <p>The annotations files are in (.svl) format which is compatible with SonicVisualiser (https://www.sonicvisualiser.org/). Each audio file has a corresponding .svl file. Each .svl has segments of audio that were manually annotated as either ''gibbon" (presence class) or "no-gibbon" (absence class) -- this dataset can be used to train a binary classification model.</p> <p>The audio files are provided in "Audio.zip" and the manually verified annotation in "Annotations.zip".</p>
On following pages: 14. Hainan Crested Gibbon (Nomascus hainanus); 15. Northern Yellow-cheeked Crested Gibbon 17. Southern White-cheeked Crested Gibbon (Nomascus siki); 18. Southern Yellow-cheeked Crested Gibbon (Nomascus (Nomascus annamensis); 16. Northern White-cheeked Crested Gibbon (Nomascus leucogenys); gabriellae); 19. Siamang (Symphalangus syndactylus). in Hylobatidae
On following pages: 14. Hainan Crested Gibbon (Nomascus hainanus); 15. Northern Yellow-cheeked Crested Gibbon 17. Southern White-cheeked Crested Gibbon (Nomascus siki); 18. Southern Yellow-cheeked Crested Gibbon (Nomascus (Nomascus annamensis); 16. Northern White-cheeked Crested Gibbon (Nomascus leucogenys); gabriellae); 19. Siamang (Symphalangus syndactylus).
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