A Novel Automated Method for The Detection of Strangers at Home using Parrot Sound
Febin Antony1, Anita H.B2

1Febin Antony, Perusing MSc computer science from CHRIST (Deemed to be University), India.
2Anita H.B, Associate Professor in the Department of Computer Science at CHRIST (Deemed to be University). She has received PhD from Gulbarga University, India.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 911-915 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2522037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The sound produced by parrots is used to gather information about their behavior. The study of sound variation is important to obtain indirect information about the characteristics of birds. This paper is the first of a series in analyzing bird sounds, and establishing the adequate relation of bird’s sound. The paper proposes a probabilistic method for audio feature classification in a short interval of time. It proposes an application of digital sound processing to check whether the parrots behave strangely when a stranger comes. The sound is classified into different classes and the emotions of the birds are analyzed. The time frequency of the signal is checked using spectrogram. It helps to analyze the parrot vocalization. The mechanical origin of the sound and the modulation are deduced from spectrogram. The spectrogram is also used to check the amplitude and frequency modulation of sound and the frequency of the sound are detected and analyzed. This research and its findings will help the bird lovers to know the bird behavior and plan according to that. The greater understanding of birds will help the bird lovers to feed and care for birds.
Keywords: Crest Factor, Dynamic Ratio, Fourier transform, NavieBayes, Sound Analysis..
Scope of the Article: Data Analytics