Animal-sound-recognition and animal-sound-classification
About Animal-sound-recognition
jovan-stojanovic/Animal-sound-recognition
Deep learning model for animal sound classification.
This project helps conservationists, wildlife researchers, or environmental agencies automatically identify different animal sounds in audio recordings. You feed it sound clips containing animal noises, and it tells you which animal made the sound. This is ideal for professionals needing to monitor animal populations or behaviors without manual listening.
About animal-sound-classification
CrispenGari/animal-sound-classification
this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.
This tool helps identify whether an audio recording contains the sound of a cat or a dog. You provide a .wav audio file, and it tells you if a cat or a dog made the sound, along with a probability score. This is useful for anyone needing to automatically categorize animal sounds.
Scores updated daily from GitHub, PyPI, and npm data. How scores work