Popular GitHub Repositories for Spectrogram

GUI for a Vocal Remover that uses Deep Neural Networks.

Vocal Remover using Deep Neural Networks

Audio processing by using pytorch 1D convolution network

kapre: Keras Audio Preprocessors

Music recommender using deep learning with Keras and TensorFlow

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

The BEST music separation model with help of A.I. ... to my ears ! ??

API for a Vocal Remover that uses Deep Neural Networks.

Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)

Final Year Project for Speech Separation

The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data

NTU RGB+D Dataset Action Recognition with GNNs and CNNs

Sound classification using ML.NET and D-CNN's

? Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Generative Models to hide Audio inside Images using custom loss functions and Spectrogram Analysis

VAD + resampling | High resolution spectrogram

Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.