[
  {
    "Word Error Rate (WER)": 23.9,
    "code_links": [
      {
        "title": "mravanelli/pytorch-kaldi",
        "url": "https://github.com/mravanelli/pytorch-kaldi"
      },
      {
        "title": "xpz123/pytorch-kaldi",
        "url": "https://github.com/xpz123/pytorch-kaldi"
      }
    ],
    "date": "2018-11-19",
    "date2": 20181119,
    "model": "Li-GRU",
    "paper": {
      "title": "The PyTorch-Kaldi Speech Recognition Toolkit",
      "url": "https://cknow.io/lib/437631894186a91a"
    },
    "paper_data_uoa": "437631894186a91a"
  },
  {
    "Word Error Rate (WER)": 29.8,
    "code_links": [
      {
        "title": "santi-pdp/pase",
        "url": "https://github.com/santi-pdp/pase"
      }
    ],
    "date": "2019-04-06",
    "date2": 20190406,
    "model": "PASE-FineTuned",
    "paper": {
      "title": "Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks",
      "url": "https://cknow.io/lib/4d24a7229ac30167"
    },
    "paper_data_uoa": "4d24a7229ac30167"
  },
  {
    "Word Error Rate (WER)": 38.2,
    "code_links": [
      {
        "title": "mravanelli/pytorch-kaldi",
        "url": "https://github.com/mravanelli/pytorch-kaldi"
      }
    ],
    "date": "2018-11-23",
    "date2": 20181123,
    "model": "SincNet-Raw waveform",
    "paper": {
      "title": "Interpretable Convolutional Filters with SincNet",
      "url": "https://cknow.io/lib/00d41178c535e48b"
    },
    "paper_data_uoa": "00d41178c535e48b"
  }
]