Automated Bird Species Identification using Audio Signal Processing and Neural Networks

Automated Bird Species Identification using Audio Signal Processing and Neural Networks

Registration ID: IJNRD_191762

Published ID: IJNRD2304405

DOI: Click Here to Get

Vivek Ganpat Kokare , Ruvighna Vishal Bhalerao , Nikita Nilesh Mane

This research explores approaches for bird identification and develops an automated system for recognizing bird species. Significant study on taxonomy and other subfields of ornithology has been a challenging and difficult endeavour for automatic identification of bird sounds without physical involvement. A two-stage identification approach is used in this work. The first step was creating an ideal dataset that included all of the bird species' sound recordings. The sound snippets were then put through a variety of sound preprocessing procedures, including pre-emphasis, framing, silence removal, and reconstruction. For each reconstructed sound clip, spectrograms were produced. In the subsequent stage, a neural network was set up and given the spectrograms as input. The Convolutional Neural Network (CNN) categorizes the sound sample and determines the species of bird based on the input features. For the aforementioned, a real-time implementation model was also created and used.

Published Paper   E-Certificate

"Automated Bird Species Identification using Audio Signal Processing and Neural Networks", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e21-e24, April-2023, Available :https://ijnrd.org/papers/IJNRD2304405.pdf

Volume 8 Issue 4, April-2023

Pages : e21-e24

Paper Reg. ID: IJNRD_191762

Published Paper Id: IJNRD2304405

Downloads: 000121216

Research Area: Computer Engineering 

Country: pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304405.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304405

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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