Alternatives and similar repositories for machinehearing:

Users that are interested in machinehearing are comparing it to the libraries listed below

• musikalkemist / pytorchforaudio
  Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.
  ☆252Updated 2 years ago
• drscotthawley / ml-audio-start
  Suggestions for those interested in developing audio applications of machine learning
  ☆180Updated last year
• musikalkemist / praudio
  Audio preprocessing framework for Deep Learning audio applications
  ☆124Updated 2 years ago
• jordipons / sklearn-audio-transfer-learning
  A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn
  ☆143Updated 2 years ago
• soundata / soundata
  Python library for downloading, loading & working with sound datasets
  ☆332Updated 6 months ago
• detly / gammatone
  Gammatone-based spectrograms, using gammatone filterbanks or Fourier transform weightings.
  ☆221Updated last year
• justinsalamon / scaper
  A library for soundscape synthesis and augmentation
  ☆398Updated 2 years ago
• jonnor / ESC-CNN-microcontroller
  Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks
  ☆102Updated 8 months ago
• alexanderlerch / pyACA
  Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
  ☆166Updated 7 months ago
• tyiannak / deep_audio_features
  Pytorch implementation of deep audio embedding calculation
  ☆105Updated last year
• musikalkemist / Deep-Learning-Audio-Application-From-Design-to-Deployment
  Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.
  ☆174Updated last year
• JorisCos / LibriMix
  An open source dataset for source separation
  ☆416Updated last year
• musikalkemist / audioDataAugmentationTutorial
  Repository hosting code and slides of the Audio Data Augmentation series on The Sound of AI YT channel.
  ☆37Updated 3 years ago
• SuperKogito / spafe
  spafe: Simplified Python Audio Features Extraction
  ☆469Updated last month
• microsoft / MS-SNSD
  The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number…
  ☆518Updated 9 months ago
• sigsep / sigsep-mus-eval
  museval - source separation evaluation tools for python
  ☆208Updated 10 months ago
• google-research / leaf-audio
  LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks…
  ☆507Updated 3 years ago
• jsingh811 / pyAudioProcessing
  Audio feature extraction and classification
  ☆224Updated last year
• RoyJames / room-impulse-responses
  A list of publicly available room impulse response datasets and scripts to download them.
  ☆454Updated 6 months ago
• tky823 / DNN-based_source_separation
  A PyTorch implementation of DNN-based source separation.
  ☆298Updated 3 years ago
• sigsep / norbert
  Painless Wiener filters for audio separation
  ☆184Updated 3 years ago
• turpaultn / DESED
  Repo associated to the DESED dataset, download and creation of data
  ☆138Updated 9 months ago
• soham97 / awesome-sound_event_detection
  Reading list for research topics in Sound AI
  ☆181Updated 8 months ago
• madhavmk / Noise2Noise-audio_denoising_without_clean_training_data
  Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEE…
  ☆187Updated last year
• csteinmetz1 / auraloss
  Collection of audio-focused loss functions in PyTorch
  ☆773Updated 8 months ago
• Spijkervet / torchaudio-augmentations
  Audio transformations library for PyTorch
  ☆231Updated 3 years ago
• mpariente / pystoi
  Python implementation of the Short Term Objective Intelligibility measure
  ☆338Updated last year
• haoxiangsnr / Wave-U-Net-for-Speech-Enhancement
  Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
  ☆329Updated 2 years ago
• etzinis / sudo_rm_rf
  Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-R…
  ☆317Updated last year
• ap-atul / Audio-Denoising
  Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink threshold…
  ☆193Updated last year