Alternatives and similar repositories for sklearn-audio-transfer-learning

Users that are interested in sklearn-audio-transfer-learning are comparing it to the libraries listed below

• slychief / ismir2018_tutorial
  ☆123Updated 5 years ago
• pfnet-research / meta-tasnet
  A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation
  ☆137Updated last year
• marl / l3embedding
  Learn and L3 embedding from audio/video pairs
  ☆88Updated 3 years ago
• bmcfee / muda
  A library for augmenting annotated audio data
  ☆235Updated 4 years ago
• jim-schwoebel / download_audioset
  📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).
  ☆103Updated 2 years ago
• minzwon / tag-based-music-retrieval
  ☆58Updated 5 years ago
• kyungyunlee / ismir2018-revisiting-svd
  Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook
  ☆67Updated 3 years ago
• sigsep / sigsep-mus-eval
  museval - source separation evaluation tools for python
  ☆229Updated 6 months ago
• minzwon / semi-supervised-music-tagging-transformer
  ☆99Updated 4 years ago
• TUT-ARG / sed_vis
  Visualization toolbox for Sound Event Detection
  ☆123Updated last year
• DCASE-REPO / dcase_util
  A collection of utilities for Detection and Classification of Acoustic Scenes and Events
  ☆134Updated 8 months ago
• TUT-ARG / sed_eval
  Evaluation toolbox for Sound Event Detection
  ☆156Updated last year
• sigsep / norbert
  Painless Wiener filters for audio separation
  ☆192Updated 3 years ago
• keunwoochoi / ismir-2019-posters
  ☆75Updated 5 years ago
• music-classification / tutorial
  2021 ISMIR tutorial - music classification
  ☆150Updated 4 years ago
• bmcfee / ismir2020-metric-learning
  ISMIR 2020 Tutorial for Metric Learning in MIR
  ☆126Updated 5 years ago
• tae-jun / sampleaudio
  Code for "Comparison and Analysis of SampleCNN Architectures for Audio Classification", IEEE Journal of Selected Topics in Signal Process…
  ☆21Updated 6 years ago
• emilio-molina / audio_degrader
  Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmenta…
  ☆55Updated 3 years ago
• jordipons / neural-classifiers-with-few-audio
  Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274
  ☆60Updated 6 years ago
• ws-choi / Conditioned-Source-Separation-LaSAFT
  A PyTorch implementation of the paper: "LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation" (ICAS…
  ☆86Updated 3 years ago
• fdlm / listening-moods
  Accompanying code for our ISMIR 2020 paper on mood estimation.
  ☆33Updated 4 years ago
• Spijkervet / torchaudio-augmentations
  Audio transformations library for PyTorch
  ☆233Updated 3 years ago
• MTG / freesound-datasets
  A platform for the collaborative creation of open audio collections labeled by humans and based on Freesound content.
  ☆142Updated 2 years ago
• p-lambda / jukemir
  Perform transfer learning for MIR using Jukebox!
  ☆185Updated 2 years ago
• sigsep / sigsep-mus-2018
  SiSEC MUS 2018 Submission System
  ☆43Updated 6 years ago
• faroit / python_audio_loading_benchmark
  Benchmark popular audio i/o packages
  ☆152Updated last year
• rabitt / ismir2017-deepsalience
  Companion code for ISMIR 2017 paper "Deep Salience Representations for $F_0$ Estimation in Polyphonic Music"
  ☆93Updated 6 years ago
• FrancoisGrondin / BIRD
  Big Impulse Response Dataset
  ☆155Updated 3 years ago
• adobe / Deep-Audio-Prior
  Audio Source Separation Without Any Training Data.
  ☆164Updated last year
• kyungyunlee / sampleCNN-pytorch
  Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"
  ☆59Updated 2 years ago