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[PAPER] Data-driven Harmonic Filters for Audio Representation Learning #2

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seungheondoh opened this issue Jul 27, 2020 · 0 comments
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📝 Introduction

Data-driven Harmonic Filters for Audio Representation Learning

Why?

  • Harmonic Filters 를 구현하고, Auto Tagging Task의 Baseline Repo를 가지기 위해서 입니다!

Issue card

  1. Harmonic STFT 구현
  2. CNN Module 구현
  3. Pytorch-lightning을 이용한 Train.py 구현
  4. Early Stopping
  5. W&B 붙이기
  6. Config Manager 붙이기 - Hydra
  7. Hyper parameter Tuner 붙이기
  8. TorchServe 붙이기 - Dockerfile
  9. E2E 테스트 구성

Schedule

  1. Harmonic STFT 구현 --> 7월 마지막
  2. CNN Module 구현 --> 8월 1주차
  3. Pytorch-lightning을 이용한 Train.py 구현 --> 8월 1주차
  4. Early Stopping, lr_scheduler 붙이기 --> 8월 1주차
  5. W&B 붙이기 --> 8월 2주차
  6. Config Manager 붙이기 - Hydra --> 8월 2주차
  7. Hyper parameter Tuner 붙이기 --> 8월 2주차
  8. TorchServe 붙이기 - Dockerfile --> 8월 3주차
  9. E2E 테스트 구성 --> 8월 4주차

Reference

https://ccrma.stanford.edu/~urinieto/MARL/publications/ICASSP2020_Won.pdf

@seungheondoh seungheondoh changed the title [PAPER] [PAPER] Data-driven Harmonic Filters for Audio Representation Learning Jul 27, 2020
@seungheondoh seungheondoh self-assigned this Jul 28, 2020
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