IEEE

Spectrogram segmentation for bird species classification based on temporal continuity

Abstract: This article presents an enhanced approach for bird species classification from their recorded audio signals. Observing that textures of syllables in audio spectrograms have noticeable ...
Europe PMC

Deep transfer learning-based bird species classification using mel spectrogram images.

The classification of bird species is of significant importance in the field of ornithology, as it plays an important role in assessing and monitoring environmental dynamics, including habitat ...
IEEE

Multi-modal Bird Species Identification: Integrating Deep Neural Networks, Transfer Learning, and Spectrogram Analysis

Abstract: The proposed research presents a comprehensive study on the identification of bird species using a multimodal approach. We explore three distinct methodologies: 1. Deep neural network based ...
GitHub

This study uses CNNs to classify bird species from audio recordings converted into spectrograms, achieving high accuracy with effective preprocessing. Future improvements will ...

This study uses CNNs to classify bird species from audio recordings converted into spectrograms, achieving high accuracy with effective preprocessing. Future improvements will focus on enhancing model ...
GitHub

ponnu1601/bird-species-classification-cnn

This project implements convolutional neural networks (CNNs) to classify bird species based on acoustic features from their vocalizations. Using spectrogram representations of audio recordings from 12 ...