Alternatives and similar repositories for MSTmodel:

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

• jordipons / neural-classifiers-with-few-audio
  Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274
  ☆60Updated 6 years ago
• lonce / SPSI_Python
  Single Pass Spectrogram Inversion in a Jupyter Python notebook
  ☆34Updated 7 years ago
• sigsep / sigsep-mus-2018
  SiSEC MUS 2018 Submission System
  ☆43Updated 5 years ago
• ankitshah009 / WALNet-Weak_Label_Analysis
  Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.
  ☆32Updated last year
• CVSSP / perceptual-study-source-separation
  Repository for subjective and objective evaluation of source separation algorithms
  ☆12Updated 7 years ago
• yoyolicoris / pytorch_FFTNet
  A pytorch implementation of FFTNet.
  ☆37Updated 6 years ago
• paarthneekhara / advoc
  Vocode spectrograms to audio with generative adversarial networks
  ☆63Updated 5 years ago
• diggerdu / pytorch_audio
  audio processing module for pytorch:stft, istft
  ☆36Updated 5 years ago
• fearofchou / mmnet
  ☆16Updated 6 years ago
• tqbl / ood_audio
  An audio classification system for learning with out-of-distribution data
  ☆33Updated 2 years ago
• yongxuUSTC / aDAE_DNN_audio_tagging
  Updated 6 years ago
• justinsalamon / UrbanSound8K-JAMS
  JAMS annotation files for the original and augmented UrbanSound8K dataset
  ☆35Updated 7 years ago
• marl / milsed
  Multiple Instance Learning for Sound Event Detection
  ☆34Updated 7 years ago
• CPJKU / dcase_task2
  Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification
  ☆29Updated 5 years ago
• bochen1106 / ISMIR2019-Tutorial3-Audiovisual-Music-Processing
  ☆33Updated 5 years ago
• fgnt / paderbox
  Paderbox: A collection of utilities for audio / speech processing
  ☆38Updated 2 months ago
• gburlet / multi-f0-estimation
  Multiple Fundamental Frequency Estimation
  ☆26Updated 11 years ago
• rafaelvalle / asrgen
  Attacking Speaker Recognition with Deep Generative Models
  ☆34Updated 2 years ago
• toni-heittola / dcase2019_task1_baseline
  DCASE2019 Challenge Task 1 baseline system
  ☆20Updated 5 years ago
• shaojinding / GroupLatentEmbedding
  Pytorch implementation of "Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion" [Intersp…
  ☆28Updated 5 years ago
• qiuqiangkong / ICASSP2018_audioset
  ☆27Updated 7 years ago
• jordipons / ICASSP2017
  Designing efficient architectures for modeling temporal features with convolutional neural networks
  ☆16Updated 8 years ago
• edufonseca / shift_sec
  Code for the paper "Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks".
  ☆13Updated 2 years ago
• ljuvela / multiscale-GAN
  Code for ICASSP 2019 paper
  ☆18Updated 6 years ago
• hearbenchmark / hear-baseline
  Simple baseline model for the HEAR benchmark
  ☆23Updated last month
• Js-Mim / rl_singing_voice
  Unsupervised Representation Learning for Singing Voice Separation
  ☆22Updated 2 years ago
• f0k / ismir2015
  CNN-based singing voice detection experiments
  ☆37Updated 7 years ago
• keunwoochoi / music4all_contrib
  ☆32Updated 4 years ago
• ifnspaml / Perceptual-Weighting-Filter-Loss
  A perceptual weighting filter loss for DNN training in speech enhancement
  ☆24Updated 3 years ago
• m-toman / tacorn
  2018/2019 TTS framework integrating state of the art open source methods
  ☆47Updated 5 years ago