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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Deep Learning Based Audio Classifier for Bird Spcies |
| Authors Name: | Aarti Anant Madhavi , Rajani Pamnani |
| Unique Id: | IJSDR1810037 |
| Published In: | Volume 3 Issue 10, October-2018 |
| Abstract: | The effect of human activities on the environment has reached a point where it has become necessary to track the effects before it causes irreparable damage to the environment. One of the ways to track such effects is to monitor the breeding behaviour, biodiversity and population dynamics of animals. Birds are one of the best species to track as they do tend to be the most reactive ones for any change in the environment e.g., deforestation or forest fires. Till now, the tracking of the birds was done manually by experts, which is very tedious at the same time consuming and non-viable method. As a result to alleviate this issue and provide assistance to the ecologists we proposing a machine learning method to recognize the bird's species based on the audio recordings. To achieve this goal, we intend to use the state of art convolutional neural network architecture called the deep residual neural networks as compared to the traditionally used classifiers like SMACPY, SVM and other relatively less sophisticated |
| Keywords: | Convolutional Neural Networks, Deep Residual Neural Network, Bird Species Classification, Data Augmentation |
| Cite Article: | "Deep Learning Based Audio Classifier for Bird Spcies", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 10, page no.228 - 233, October-2018, Available :http://www.ijsdr.org/papers/IJSDR1810037.pdf |
| Downloads: | 000337212 |
| Publication Details: | Published Paper ID: IJSDR1810037 Registration ID:180730 Published In: Volume 3 Issue 10, October-2018 DOI (Digital Object Identifier): Page No: 228 - 233 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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