The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.
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audioclassification
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This repository is built with a focus on practical ways to obtain and work with the audio data of audioset. You can use this repository to download and precprocess audioset wav files for running the recipies of Audio Spectogram Transformer (AST) and Masked Autoencoder that listen (Audio - MAE).
download ast classification imagenet event-detection audioset recipies audio-tagging audioclassification audioset-download audio-spectogram-transformer audio-mae
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This project leverages Convolutional Neural Networks (CNNs) to perform real-time audio classification in rainforest environments, detecting sounds such as chainsaws, truck engines, and storms. Audio data, sourced from UrbanSound8K and rainforest recordings, is preprocessed into spectrograms using Librosa, while synthetic soundscapes are generated w
machine-learning tensorflow cnn libros scaper sound-recognition real-time-detection audioclassification
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This repository contains code/papers/research on Speech or Audio Classification
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BirdCLEF 2025 soundscape classification project using deep learning (SeresNeXt26t) with PyTorch, pseudo-labeling, and audio preprocessing for bird species identification.
ml pytorch dl librosa torchaudio seresnext audioclassification kagglecompetitions kagglecompetition birdclef2025 pseudolabeling soundscapeanalysis
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A Convolutional Neural Network which is trained to detect COVID 19 even in asymptotic patients using only cough recordings.
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A deep learning model that can detect the presence of capuchin bird calls in audio clips
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This project builds a deep-learning-based heartbeat sound classification system using MFCC features and multiple models including CNN, BiLSTM, and a Hybrid CNN–BiLSTM architecture. The system detects and classifies heart sounds into normal, murmur, and artifact categories, supporting early cardiac abnormality detection.
python deep-learning tensorflow sound-processing lstm mfcc librosa cnn-model fourier-transform medicalai heartsound audioclassification healthcare-ai hybridmodel phonocardiogram
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Dataset for CABA: Clasificador Automatico de Botellas por Acustica (Automatic Acustic Bottle Classifier)
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Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. This is also the phenomenon that animals like dogs and horses employ to be able to understand human emotion.
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This is a space where I share my personal portfolio :)
python data-science machine-learning sql algorithms data-visualization webscraping audioclassification
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