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The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.
基于Tensorflow实现声音分类,博客地址:
This repository contains code/papers/research on Speech or Audio Classification
A Convolutional Neural Network which is trained to detect COVID 19 even in asymptotic patients using only cough recordings.
Broadcasting-residual network model zoo for Multiple Classification Tasks.
Dataset for CABA: Clasificador Automatico de Botellas por Acustica (Automatic Acustic Bottle Classifier)
A deep learning model that can detect the presence of capuchin bird calls in audio clips
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.
A compilation of libraries, case studies, resources, and research papers revolving around deep learning/machine learning for audio
This is a space where I share my personal portfolio :)