daisukelab / dcase2020_task2_variants

Related projects: ⓘ

• shinmura0 / DCASE2020_Task2_Solution-Anomaly_detection-
  DCASE2020 Task2 Self-supervised learning solution
  ☆32Updated 3 years ago
• y-kawagu / dcase2021_task2_baseline_mobile_net_v2
  MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.
  ☆21Updated 3 years ago
• Kota-Dohi / dcase2022_task2_baseline_ae
  ☆17Updated last year
• kyama0321 / gammachirpy
  A Python package of the dynamic compressive gammachirp filterbank (dcGC-FB)
  ☆27Updated 4 months ago
• OptimusPrimus / dcase2020_task2
  DCASE 2020 Task 2 - Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring
  ☆49Updated 4 years ago
• Kota-Dohi / dcase2022_task2_baseline_mobile_net_v2
  ☆14Updated last year
• y-kawagu / dcase2021_task2_baseline_ae
  Autoencoder-based baseline system for DCASE2021 Challenge Task 2.
  ☆28Updated 3 years ago
• dr-costas / dnd-sed
  Sound event detection with depthwise separable and dilated convolutions.
  ☆51Updated 4 years ago
• edufonseca / uclser20
  Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.
  ☆91Updated last year
• nobutaka-ito / pulse
  Official Pytorch implementation of PULSE: Positive–Unlabelled Learning for audio Signal Enhancement (Best Paper Award at ICASSP 2023)
  ☆39Updated last year
• nttcslab / ToyADMOS2-dataset
  ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions 🚗 🚃
  ☆14Updated 5 months ago
• BirdVox / PCEN-SNR
  Audio activity detector based on per-channel energy normalization (PCEN)
  ☆29Updated 5 years ago
• sharathadavanne / seld-dcase2021
  Baseline method for sound event localization task of DCASE 2021 challenge
  ☆39Updated 3 years ago
• CPJKU / EfficientLEAF
  Official implementation of EfficientLEAF, a learnable audio frontend.
  ☆39Updated last year
• y-kawagu / dcase2020_task2_baseline
  DCASE2020 Challenge Task 2 baseline system
  ☆100Updated last year
• lili-0805 / MVAE
  Official PyTorch implementation of MVAE for audio source separation
  ☆42Updated last year
• c4dm / dcase-few-shot-bioacoustic
  ☆48Updated 2 months ago
• CHeggan / MetaAudio-A-Few-Shot-Audio-Classification-Benchmark
  A new comprehensive and diverse few-shot acoustic classification benchmark.
  ☆58Updated 3 months ago
• qiuqiangkong / sound_event_detection_dcase2017_task4
  ☆52Updated 4 years ago
• ristea / septr
  ☆25Updated last year
• tqbl / ood_audio
  An audio classification system for learning with out-of-distribution data
  ☆32Updated last year
• ibkuroyagi / dcase2022_task2_challenge_recipe
  ☆24Updated last year
• mil-tokyo / bc_learning_sound
  Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282
  ☆91Updated 6 years ago
• turpaultn / dcase20_task4
  Baseline of DCASE 2020 task 4
  ☆41Updated last year
• wanganran / HybridBeam
  Source code for AAAI 22 paper: Hybrid Neural Networks for On-Device Directional Hearing
  ☆13Updated 5 months ago
• nttcslab / composing-general-audio-repr
  Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model
  ☆26Updated last year
• toni-heittola / dcase2020_task1_baseline
  DCASE2020 Challenge Task 1 baseline system
  ☆25Updated 4 years ago
• giusenso / seld-tcn
  SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow
  ☆60Updated 3 years ago
• yinkalario / DCASE2019-TASK3
  Our DCASE 2019 challenge task 3 method
  ☆31Updated last year
• qiuqiangkong / autoth
  ☆9Updated 4 years ago