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kapre: Keras Audio Preprocessors
Real-time audio visualizations (spectrum, spectrogram, etc.)
Music recommender using deep learning with Keras and TensorFlow
Audio processing by using pytorch 1D convolution network
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
Vocal Remover using Deep Neural Networks
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Encode an image to sound and view it as a spectrogram - turn your images into music
Audio spectrogram in canvas.
Turn an image into sound whose spectrogram looks like the image.
audio toolkit. 好用的语音处理工具箱，包含语音降噪、音频格式转换、特征频谱生成等模块。
GUI for a Vocal Remover that uses Deep Neural Networks.
mpv lua scripts
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
A simple audio feature extraction library
Source code complementing our paper for acoustic event classification using convolutional neural networks.
pytorch tacotron2 https://arxiv.org/pdf/1712.05884.pdf
Real-time 2D spectrogram plugin (LV2, VST and Jack)
Audio Classification using Image Classification
Final Year Project for Speech Separation
The 2018 LifeCLEF bird identification task baseline system.
streamline acoustic analysis in R
Source code of the TUCMI submission to BirdCLEF2017
Taking an audio signal (wav) and converting it into a spectrogram. Written in Go programming language.
c++ implementation of the fingerprinting algorithm suggested in the dejavu audio fingerprinting project
The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
Deep Learning project: Neural Networks (audio and image analysis and processing), Flask App deployed to AWS
Turn images into sounds viewable on a spectrogram!
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