| Autor: |
Ricky Mohanty, Bandi Kumar Mallik, Sandeep Singh Solanki |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Data in Brief, Vol 29, Iss , Pp - (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3409 |
| DOI: |
10.1016/j.dib.2020.105301 |
| Popis: |
Birds have often been recognised as the first informants of climatic change in our environment. Bird species recognition has assumed great significance not just for checking the survival of birds but also as an early warning signal of the declining health of earth and its climate. Earlier researchers have established recognition of bird species based on sounds from repository available online which were region-specific. In this article, we have presented the spike-based bird species recognition model, which deals with the process of identifying the bird species based on their vocalization or call. The dataset comprises of 14 bird species vocalizations. These recordings have been taken in their natural environment. The calls were recorded using a digital recorder and a unidirectional microphone at Central Poultry Development Organization (CPDO), Eastern Region, Bhubaneswar, India. The interpretation of this data provided in this article is associated with the research article titled “Automatic Bird Species Recognition System using Neural Network based on Spike'' [1]. Keywords: Feature extraction, Classification, Recognition system, Bird species |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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