Projects in Awesome Lists tagged with melspectrogram

https://github.com/KinWaiCheuk/nnAudio

Audio processing by using pytorch 1D convolution network

1d-convolution audio-processing cqt-spectrogram melspectrogram neural-network preprocessing pytorch spectrogram spectrogram-conversion-toolbox stft

Last synced: 14 Jul 2025

https://github.com/kinwaicheuk/nnaudio

Audio processing by using pytorch 1D convolution network

1d-convolution audio-processing cqt-spectrogram melspectrogram neural-network preprocessing pytorch spectrogram spectrogram-conversion-toolbox stft

Last synced: 15 May 2025

https://github.com/keunwoochoi/kapre

kapre: Keras Audio Preprocessors

audio kapre-layers keras keras-audio-preprocessors melspectrogram preprocess shot spectrogram tensorflow

Last synced: 15 May 2025

https://github.com/ksanjeevan/crnn-audio-classification

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

audio audio-classification convnet crnn lstm melspectrogram pytorch rnn spectrogram

Last synced: 16 Jan 2026

https://github.com/sshh12/conv-vad

A packaged convolutional voice activity detector for noisy environments.

convolutional-neural-networks keras melspectrogram vad voice-activity-detection

Last synced: 19 Mar 2025

https://github.com/ryoha000/librosapp

A C++ implementation of stft, melspectrogram and mel_to_stft

librosa melspectrogram spectrogram stft

Last synced: 14 Oct 2025

https://github.com/mehdihosseinimoghadam/signal-processing

Signal Processing with Python and Librosa

griffinlim librosa melspectrogram python signal-processing spectrogram torchaudio variational-autoencoder vector-quantization voice voice-reconstruction voice-synthesis vq-vae

Last synced: 22 Jul 2025

https://github.com/chris-santiago/emonet

CNN-LSTM model for audio emotion detection in children with adverse childhood events.

adverse-childhood-events audio-classification cnn-lstm emotion-detection emotion-recognition melspectrogram pytorch pytorch-lightning torchaudio torchvision

Last synced: 02 Apr 2025

https://github.com/coderjolly/bird-call

There are already many projects underway to extensively monitor birds by continuously recording natural soundscapes over long periods. However, as many living and nonliving things make noise, the analysis of these datasets is often done manually by domain experts. These analyses are painstakingly slow, and results are often incomplete.

audio-processing cnn-classification cnn-keras melspectrogram melspectrogram-classifications melspectrogram-creation-pipeline python