[
  {
    "Percentage error": 10.3,
    "code_links": [],
    "date": "2017-03-06",
    "date2": 20170306,
    "model": "ResNet + BiLSTMs acoustic model",
    "paper": {
      "title": "English Conversational Telephone Speech Recognition by Humans and Machines",
      "url": "https://cknow.io/lib/d65a228a6d6d00a9"
    },
    "paper_data_uoa": "d65a228a6d6d00a9"
  },
  {
    "Percentage error": 11.9,
    "code_links": [],
    "date": "2016-09-12",
    "date2": 20160912,
    "model": "VGG/Resnet/LACE/BiLSTM acoustic model trained on SWB+Fisher+CH, N-gram + RNNLM language model trained on Switchboard+Fisher+Gigaword+Broadcast",
    "paper": {
      "title": "The Microsoft 2016 Conversational Speech Recognition System",
      "url": "https://cknow.io/lib/1ba47009467bdc18"
    },
    "paper_data_uoa": "1ba47009467bdc18"
  },
  {
    "Percentage error": 12.2,
    "code_links": [],
    "date": "2016-04-27",
    "date2": 20160427,
    "model": "RNN + VGG + LSTM acoustic model trained on SWB+Fisher+CH, N-gram + \"model M\" + NNLM language model",
    "paper": {
      "title": "The IBM 2016 English Conversational Telephone Speech Recognition System",
      "url": "https://cknow.io/lib/68870341a9802e1a"
    },
    "paper_data_uoa": "68870341a9802e1a"
  },
  {
    "Percentage error": 16,
    "code_links": [
      {
        "title": "mozilla/DeepSpeech",
        "url": "https://github.com/mozilla/DeepSpeech"
      },
      {
        "title": "robmsmt/KerasDeepSpeech",
        "url": "https://github.com/robmsmt/KerasDeepSpeech"
      },
      {
        "title": "myrtleSoftware/deepspeech",
        "url": "https://github.com/myrtleSoftware/deepspeech"
      },
      {
        "title": "IBM/MAX-Speech-to-Text-Converter",
        "url": "https://github.com/IBM/MAX-Speech-to-Text-Converter"
      },
      {
        "title": "mangushev/deep_speech",
        "url": "https://github.com/mangushev/deep_speech"
      },
      {
        "title": "RashadGarayev/TRSpeech-to-text",
        "url": "https://github.com/RashadGarayev/TRSpeech-to-text"
      },
      {
        "title": "WalterJohnson0/DeepSpeech-KerasRebuild",
        "url": "https://github.com/WalterJohnson0/DeepSpeech-KerasRebuild"
      },
      {
        "title": "Loghijiaha/DeepSpeech-Indo",
        "url": "https://github.com/Loghijiaha/DeepSpeech-Indo"
      }
    ],
    "date": "2014-12-17",
    "date2": 20141217,
    "model": "CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trainedonlyon SWB",
    "paper": {
      "title": "Deep Speech: Scaling up end-to-end speech recognition",
      "url": "https://cknow.io/lib/23ae74412eb5aaa6"
    },
    "paper_data_uoa": "23ae74412eb5aaa6"
  },
  {
    "Percentage error": 19.1,
    "code_links": [],
    "date": "2014-06-30",
    "date2": 20140630,
    "model": "DNN + Dropout",
    "paper": {
      "title": "Building DNN Acoustic Models for Large Vocabulary Speech Recognition",
      "url": "https://cknow.io/lib/1be14a5be24c6385"
    },
    "paper_data_uoa": "1be14a5be24c6385"
  }
]