Alternatives and similar repositories for sampleaudio

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

• kyungyunlee / sampleCNN-pytorch
  Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"
  ☆59Updated 2 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
• minzwon / data-driven-harmonic-filters
  ☆42Updated 5 years ago
• kyungyunlee / ismir2018-revisiting-svd
  Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook
  ☆67Updated 3 years ago
• keunwoochoi / ismir-2019-posters
  ☆75Updated 5 years ago
• kkoutini / cpjku_dcase20
  CP-JKU submission to DCASE 20
  ☆45Updated 4 years ago
• hearbenchmark / hear-baseline
  Simple baseline model for the HEAR benchmark
  ☆23Updated last week
• SonyCSLParis / cae-invar
  Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder
  ☆38Updated last year
• jthickstun / thickstun2018invariances
  Experiments for Invariances and Data Augmentation for Supervised Music Transcription
  ☆31Updated 5 years ago
• marl / massage
  Multitrack Analysis/SynthesiS for Annotation, auGmentation and Evaluation
  ☆22Updated 8 years ago
• ilaria-manco / music-audio-tagging-pytorch
  A PyTorch implementation of the musicnn model for music audio tagging
  ☆38Updated last year
• sharathadavanne / seld-dcase2019
  Benchmark for sound event localization task of DCASE 2019 challenge
  ☆78Updated 5 years ago
• interactiveaudiolab / CAQE
  Crowdsourced Audio Quality Evaluation Toolkit
  ☆55Updated 3 years ago
• TUT-ARG / sed_eval
  Evaluation toolbox for Sound Event Detection
  ☆157Updated last year
• pfnet-research / meta-tasnet
  A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation
  ☆137Updated 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
• toni-heittola / dcase2019_task1_baseline
  DCASE2019 Challenge Task 1 baseline system
  ☆20Updated 6 years ago
• f90 / AdversarialAudioSeparation
  Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
  ☆84Updated 6 years ago
• sigsep / sigsep-mus-2018
  SiSEC MUS 2018 Submission System
  ☆43Updated 6 years ago
• TUT-ARG / DCASE2017-baseline-system
  DCASE 2017 Baseline system
  ☆82Updated 5 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
• fearofchou / mmnet
  ☆16Updated 6 years ago
• minzwon / tag-based-music-retrieval
  ☆58Updated 5 years ago
• sharathadavanne / seld-dcase2021
  Baseline method for sound event localization task of DCASE 2021 challenge
  ☆41Updated 4 years ago
• kyungyunlee / mono2mixed-singer
  [ismir2019] Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
  ☆28Updated 3 years ago
• furkanyesiler / acoss
  acoss: Audio Cover Song Suite is a framework for feature extraction and benchmarking for the cover song identification (CSI) task
  ☆39Updated 2 years ago
• xavierfav / coala
  COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
  ☆48Updated last year
• toni-heittola / icassp2019-tutorial
  ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples
  ☆42Updated 6 months ago
• jongpillee / sampleCNN
  ☆12Updated 8 years ago
• ShariqM / source_separation
  Audio Source Separation using Neural Networks
  ☆24Updated 7 years ago