{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "qncY3FktdgMI"
   },
   "source": [
    "# Speech Recognition (Recipe)\n",
    "\n",
    "Author: [Shigeki Karita](https://github.com/ShigekiKarita)\n",
    "\n",
    "July 29 2019\n",
    "\n",
    "ESPnet Hackathon 2019 @Tokyo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "V6yNO58J-7my"
   },
   "source": [
    "## Abstract\n",
    "\n",
    "This example shows you a practical ASR example using ESPnet as a command line interface, and also as a library.\n",
    "\n",
    "See also\n",
    "\n",
    "- documetation https://espnet.github.io/espnet/\n",
    "- github https://github.com/espnet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BWdrn8p2_HxX"
   },
   "source": [
    "## Installation\n",
    "\n",
    "ESPnet depends on Kaldi ASR toolkit and Warp-CTC. This will take a few minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mLxx6gVHwda6"
   },
   "outputs": [],
   "source": [
    "# OS setup\n",
    "!sudo apt-get install bc tree\n",
    "!cat /etc/os-release\n",
    "\n",
    "# espnet setup\n",
    "!git clone https://github.com/espnet/espnet\n",
    "!cd espnet; pip install -e .\n",
    "!mkdir -p espnet/tools/venv/bin; touch espnet/tools/venv/bin/activate\n",
    "\n",
    "# warp ctc setup\n",
    "!git clone https://github.com/espnet/warp-ctc -b pytorch-1.1\n",
    "!cd warp-ctc && mkdir build && cd build && cmake .. && make -j4\n",
    "!cd warp-ctc/pytorch_binding && python setup.py install \n",
    "\n",
    "# kaldi setup\n",
    "!cd ./espnet/tools; git clone https://github.com/kaldi-asr/kaldi\n",
    "!echo \"\" > ./espnet/tools/kaldi/tools/extras/check_dependencies.sh # ignore check\n",
    "!chmod +x ./espnet/tools/kaldi/tools/extras/check_dependencies.sh\n",
    "!cd ./espnet/tools/kaldi/tools; make sph2pipe sclite\n",
    "!rm -rf espnet/tools/kaldi/tools/python\n",
    "![ ! -e ubuntu16-featbin.tar.gz ] && wget https://18-198329952-gh.circle-artifacts.com/0/home/circleci/repo/ubuntu16-featbin.tar.gz\n",
    "!tar -xf ./ubuntu16-featbin.tar.gz\n",
    "!cp featbin/* espnet/tools/kaldi/src/featbin/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_6pH9DX1hTLj"
   },
   "source": [
    "## ESPnet command line usage (espnet/egs/xxx)\n",
    "\n",
    "You can use the end-to-end script `run.sh` for reproducing systems reported in `espnet/egs/*/asr1/RESULTS.md`. Typically, we organize `run.sh` with several stages:\n",
    "\n",
    "0. Data download (if available)\n",
    "1. Kaldi-style data preparation \n",
    "2. Save python-friendly data (e.g., JSON, HDF5, etc)\n",
    "3. Language model training\n",
    "4. ASR model training\n",
    "5. Decoding and evaluation\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 139
    },
    "colab_type": "code",
    "id": "czOt7uAQ_Qwx",
    "outputId": "90adc5cc-8fc0-41dc-e9b6-29654621e2a6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "aishell  cmu_wilderness\t\t  jnas\t       ljspeech     timit\n",
      "ami\t csj\t\t\t  jsalt18e2e   m_ailabs     voxforge\n",
      "an4\t fisher_callhome_spanish  jsut\t       reverb\t    wsj\n",
      "aurora4  fisher_swbd\t\t  li10\t       ru_open_stt  wsj_mix\n",
      "babel\t hkust\t\t\t  librispeech  swbd\t    yesno\n",
      "chime4\t hub4_spanish\t\t  libri_trans  tedlium2\n",
      "chime5\t iwslt18\t\t  libritts     tedlium3\n"
     ]
    }
   ],
   "source": [
    "!ls espnet/egs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WkkVjeBM_PNo"
   },
   "source": [
    "\n",
    "### Stage 0 - 2 Data preparation\n",
    "\n",
    "For example, if you add `--stop-stage 2`, you can stop the script before neural network training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 697
    },
    "colab_type": "code",
    "id": "YMMmYjCDBtSm",
    "outputId": "652b805e-003b-4179-d81b-da925e0ad5ac"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stage -1: Data Download\n",
      "local/download_and_untar.sh: an4 directory already exists in ./downloads\n",
      "stage 0: Data preparation\n",
      "stage 1: Feature Generation\n",
      "steps/make_fbank_pitch.sh --cmd run.pl --nj 8 --write_utt2num_frames true data/test exp/make_fbank/test fbank\n",
      "steps/make_fbank_pitch.sh: moving data/test/feats.scp to data/test/.backup\n",
      "utils/validate_data_dir.sh: Successfully validated data-directory data/test\n",
      "steps/make_fbank_pitch.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.\n",
      "steps/make_fbank_pitch.sh: Succeeded creating filterbank and pitch features for test\n",
      "fix_data_dir.sh: kept all 130 utterances.\n",
      "fix_data_dir.sh: old files are kept in data/test/.backup\n",
      "steps/make_fbank_pitch.sh --cmd run.pl --nj 8 --write_utt2num_frames true data/train exp/make_fbank/train fbank\n",
      "steps/make_fbank_pitch.sh: moving data/train/feats.scp to data/train/.backup\n",
      "utils/validate_data_dir.sh: Successfully validated data-directory data/train\n",
      "steps/make_fbank_pitch.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.\n",
      "steps/make_fbank_pitch.sh: Succeeded creating filterbank and pitch features for train\n",
      "fix_data_dir.sh: kept all 948 utterances.\n",
      "fix_data_dir.sh: old files are kept in data/train/.backup\n",
      "utils/subset_data_dir.sh: reducing #utt from 948 to 100\n",
      "utils/subset_data_dir.sh: reducing #utt from 948 to 848\n",
      "compute-cmvn-stats scp:data/train_nodev/feats.scp data/train_nodev/cmvn.ark \n",
      "LOG (compute-cmvn-stats[5.5.428~1-29b3]:main():compute-cmvn-stats.cc:168) Wrote global CMVN stats to data/train_nodev/cmvn.ark\n",
      "LOG (compute-cmvn-stats[5.5.428~1-29b3]:main():compute-cmvn-stats.cc:171) Done accumulating CMVN stats for 848 utterances; 0 had errors.\n",
      "/content/espnet/egs/an4/asr1/../../../utils/dump.sh --cmd run.pl --nj 8 --do_delta false data/train_nodev/feats.scp data/train_nodev/cmvn.ark exp/dump_feats/train dump/train_nodev/deltafalse\n",
      "/content/espnet/egs/an4/asr1/../../../utils/dump.sh --cmd run.pl --nj 8 --do_delta false data/train_dev/feats.scp data/train_nodev/cmvn.ark exp/dump_feats/dev dump/train_dev/deltafalse\n",
      "/content/espnet/egs/an4/asr1/../../../utils/dump.sh --cmd run.pl --nj 8 --do_delta false data/train_dev/feats.scp data/train_nodev/cmvn.ark exp/dump_feats/recog/train_dev dump/train_dev/deltafalse\n",
      "/content/espnet/egs/an4/asr1/../../../utils/dump.sh --cmd run.pl --nj 8 --do_delta false data/test/feats.scp data/train_nodev/cmvn.ark exp/dump_feats/recog/test dump/test/deltafalse\n",
      "dictionary: data/lang_1char/train_nodev_units.txt\n",
      "stage 2: Dictionary and Json Data Preparation\n",
      "28 data/lang_1char/train_nodev_units.txt\n",
      "/content/espnet/egs/an4/asr1/../../../utils/data2json.sh --feat dump/train_nodev/deltafalse/feats.scp data/train_nodev data/lang_1char/train_nodev_units.txt\n",
      "/content/espnet/egs/an4/asr1/../../../utils/feat_to_shape.sh --cmd run.pl --nj 1 --filetype  --preprocess-conf  --verbose 0 dump/train_nodev/deltafalse/feats.scp data/train_nodev/tmp-dTUdQ/input/shape.scp\n",
      "/content/espnet/egs/an4/asr1/../../../utils/data2json.sh --feat dump/train_dev/deltafalse/feats.scp data/train_dev data/lang_1char/train_nodev_units.txt\n",
      "/content/espnet/egs/an4/asr1/../../../utils/feat_to_shape.sh --cmd run.pl --nj 1 --filetype  --preprocess-conf  --verbose 0 dump/train_dev/deltafalse/feats.scp data/train_dev/tmp-eDDsN/input/shape.scp\n",
      "/content/espnet/egs/an4/asr1/../../../utils/data2json.sh --feat dump/train_dev/deltafalse/feats.scp data/train_dev data/lang_1char/train_nodev_units.txt\n",
      "/content/espnet/egs/an4/asr1/../../../utils/feat_to_shape.sh --cmd run.pl --nj 1 --filetype  --preprocess-conf  --verbose 0 dump/train_dev/deltafalse/feats.scp data/train_dev/tmp-CW4nd/input/shape.scp\n",
      "/content/espnet/egs/an4/asr1/../../../utils/data2json.sh --feat dump/test/deltafalse/feats.scp data/test data/lang_1char/train_nodev_units.txt\n",
      "/content/espnet/egs/an4/asr1/../../../utils/feat_to_shape.sh --cmd run.pl --nj 1 --filetype  --preprocess-conf  --verbose 0 dump/test/deltafalse/feats.scp data/test/tmp-0xpK2/input/shape.scp\n"
     ]
    }
   ],
   "source": [
    "!cd espnet/egs/an4/asr1; ./run.sh  --ngpu 1 --stop-stage 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "A_ATcz0jnCcF"
   },
   "source": [
    "## Kaldi-style directory structure\n",
    "\n",
    "Always we organize each recipe placed in `egs/xxx/asr1` in Kaldi way:\n",
    "\n",
    "- `conf/`: kaldi configurations, e.g., speech feature\n",
    "- `data/`: almost raw [data prepared by Kaldi](https://kaldi-asr.org/doc/data_prep.html)\n",
    "- `exp/`: intermidiate files through experiments, e.g., log files, model parameters\n",
    "- `fbank/`: speech feature binary files, e.g., [ark, scp](https://kaldi-asr.org/doc/io.html)\n",
    "- `dump/`: ESPnet meta data for tranining, e.g., json, hdf5\n",
    "- `local/`: corpus specific data preparation scripts\n",
    "- [steps/](https://github.com/kaldi-asr/kaldi/tree/master/egs/wsj/s5/steps), [utils/](https://github.com/kaldi-asr/kaldi/tree/master/egs/wsj/s5/utils): Kaldi's helper scripts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 295
    },
    "colab_type": "code",
    "id": "gsVAFRyNmr_h",
    "outputId": "aed8542d-14a2-427c-8bc2-2130c0e2e490"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "espnet/egs/an4/asr1\n",
      "├── cmd.sh\n",
      "├── conf\n",
      "├── data\n",
      "├── downloads\n",
      "├── dump\n",
      "├── exp\n",
      "├── fbank\n",
      "├── local\n",
      "├── path.sh\n",
      "├── RESULTS\n",
      "├── run.sh\n",
      "├── steps -> ../../../tools/kaldi/egs/wsj/s5/steps\n",
      "└── utils -> ../../../tools/kaldi/egs/wsj/s5/utils\n",
      "\n",
      "9 directories, 4 files\n"
     ]
    }
   ],
   "source": [
    "!tree -L 1 espnet/egs/an4/asr1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QZjB0Z3Yh4Qa"
   },
   "source": [
    "### TIPS: essential files in data preparation\n",
    "\n",
    "To create a new recipe, all you need is stage 1 that creates key-value pair files: \n",
    "- speech`data/xxx/wav.scp`\n",
    "- text`data/xxx/text`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JrOxn_Kr_kv0"
   },
   "source": [
    "#### raw speech file list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 211
    },
    "colab_type": "code",
    "id": "t3c3ohb1iUwc",
    "outputId": "4681aa16-a2ad-4e0c-9e98-641bff7cc11d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fash-an251-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/an251-fash-b.sph |\n",
      "fash-an253-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/an253-fash-b.sph |\n",
      "fash-an254-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/an254-fash-b.sph |\n",
      "fash-an255-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/an255-fash-b.sph |\n",
      "fash-cen1-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/cen1-fash-b.sph |\n",
      "fash-cen2-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/cen2-fash-b.sph |\n",
      "fash-cen4-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/cen4-fash-b.sph |\n",
      "fash-cen5-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/cen5-fash-b.sph |\n",
      "fash-cen7-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fash/cen7-fash-b.sph |\n",
      "fbbh-an86-b /content/espnet/egs/an4/asr1/../../../tools/kaldi/tools/sph2pipe_v2.5/sph2pipe -f wav -p -c 1 ./downloads/an4/wav/an4_clstk/fbbh/an86-fbbh-b.sph |\n"
     ]
    }
   ],
   "source": [
    "!head espnet/egs/an4/asr1/data/train/wav.scp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JqfUcEpk_p0F"
   },
   "source": [
    "### raw text list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 191
    },
    "colab_type": "code",
    "id": "r0OR-ks0iqOW",
    "outputId": "9e327e65-8fb4-4db6-ffd3-c8a056cb0a44"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fash-an251-b YES\n",
      "fash-an253-b GO\n",
      "fash-an254-b YES\n",
      "fash-an255-b U M N Y H SIX\n",
      "fash-cen1-b H I N I C H\n",
      "fash-cen2-b A M Y\n",
      "fash-cen4-b M O R E W O O D\n",
      "fash-cen5-b P I T T S B U R G H\n",
      "fash-cen7-b TWO SIX EIGHT FOUR FOUR ONE EIGHT\n",
      "fbbh-an86-b C Z D Z W EIGHT\n"
     ]
    }
   ],
   "source": [
    "!head espnet/egs/an4/asr1/data/train/text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "4cD6Pfyj_6Kq"
   },
   "source": [
    "### TIPS: explore datasets with data.json\n",
    "\n",
    "To explore datasets easily, ESPnet stores metadata `dump/xxx/data.json` in the stage 2."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 479
    },
    "colab_type": "code",
    "id": "BIviLgGKNAyk",
    "outputId": "0235a74e-1146-4806-f449-e665b0a247a5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('fcaw-cen6-b',\n",
       " {'input': [{'feat': '/content/espnet/egs/an4/asr1/dump/test/deltafalse/feats.1.ark:271757',\n",
       "    'name': 'input1',\n",
       "    'shape': [288, 83]}],\n",
       "  'output': [{'name': 'target1',\n",
       "    'shape': [22, 30],\n",
       "    'text': 'ONE FIVE TWO THREE SIX',\n",
       "    'token': 'O N E <space> F I V E <space> T W O <space> T H R E E <space> S I X',\n",
       "    'tokenid': '17 16 7 2 8 11 24 7 2 22 25 17 2 22 10 20 7 7 2 21 11 26'}],\n",
       "  'utt2spk': 'fcaw'})"
      ]
     },
     "execution_count": 6,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Q7VaquLOdIDc3RWX8lwdfWG9fOJHacHE+TP4nHgCt+bZ0XXUibPPZSQU8VZZi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\nQ5pS8wwtfaS2SeoBsYkUmAAq4GAA+kmk61BdaTMC3bHUyS0d3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K99b6WgWxHLvzJAvpPJ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\n",
      "text/plain": [
       "<Figure size 999.325x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "import kaldiio\n",
    "\n",
    "# load 10-th speech/text in data.json\n",
    "root = \"espnet/egs/an4/asr1\"\n",
    "with open(root + \"/dump/test/deltafalse/data.json\", \"r\") as f:\n",
    "  test_json = json.load(f)[\"utts\"]\n",
    "  \n",
    "key, info = list(test_json.items())[10]\n",
    "\n",
    "# plot the speech feature\n",
    "fbank = kaldiio.load_mat(info[\"input\"][0][\"feat\"])\n",
    "plt.matshow(fbank.T[::-1])\n",
    "plt.title(key + \": \" + info[\"output\"][0][\"text\"])\n",
    "\n",
    "# print the key-value pair\n",
    "key, info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xdguXokUwn7V"
   },
   "source": [
    "### Stage 3 - 4 NN Training\n",
    "\n",
    "Let's go to the most interesting part..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 191
    },
    "colab_type": "code",
    "id": "Wmi7ggV4U_pv",
    "outputId": "5704430c-c705-4730-a7cf-7b30c21c56ff"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dlayers: 1\n",
      "dunits: 300\n",
      "# attention related\n",
      "atype: location\n",
      "adim: 320\n",
      "aconv-chans: 10\n",
      "aconv-filts: 100\n",
      "\n",
      "# hybrid CTC/attention\n",
      "mtlalpha: 1.0\n"
     ]
    }
   ],
   "source": [
    "!tail espnet/egs/an4/asr1/conf/train_mtlalpha1.0.yaml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 86
    },
    "colab_type": "code",
    "id": "-vNl2QcXwOGS",
    "outputId": "6c132212-b14f-48d6-dce8-fe63c88076cb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dictionary: data/lang_1char/train_nodev_units.txt\n",
      "stage 3: LM Preparation\n",
      "WARNING:root:OOV rate = 0.00 %\n",
      "stage 4: Network Training\n"
     ]
    }
   ],
   "source": [
    "!cd espnet/egs/an4/asr1; ./run.sh  --ngpu 1 --stage 3 --stop-stage 4 --train-config ./conf/train_mtlalpha1.0.yaml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jLUiHpsqxKu1"
   },
   "source": [
    "### TIPS: change_yaml.py\n",
    "\n",
    "You can tweak YAML config by **$(change_yaml.py xxx.yaml -a yyy=zzz)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 52
    },
    "colab_type": "code",
    "id": "qxDO30nAxZkc",
    "outputId": "b9729416-c286-4544-c22c-94ce538ea564"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dictionary: data/lang_1char/train_nodev_units.txt\n",
      "stage 4: Network Training\n"
     ]
    }
   ],
   "source": [
    "!cd espnet/egs/an4/asr1; source path.sh; \\\n",
    "  ./run.sh  --ngpu 1 --stage 4 --stop-stage 4 \\\n",
    "  --train-config $(change_yaml.py ./conf/train_mtlalpha1.0.yaml -a eunits=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "T6h-SYzMwxWs"
   },
   "source": [
    "### TIPS: tensorboard\n",
    "\n",
    "You can easily monitor effects of the config by tensorboard"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "2TA5RO6rVzlr"
   },
   "source": [
    "### Decoding and evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "RLxqDSsXA3Xu"
   },
   "source": [
    "decode config (`change_yaml.py` also works)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 139
    },
    "colab_type": "code",
    "id": "NHtzMEczV3D1",
    "outputId": "a3d1e5e8-0f83-490e-df01-5a560a31a0b1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# decoding parameter\n",
      "beam-size: 20\n",
      "penalty: 0.0\n",
      "maxlenratio: 0.0\n",
      "minlenratio: 0.0\n",
      "ctc-weight: 1.0\n",
      "lm-weight: 1.0\n"
     ]
    }
   ],
   "source": [
    "!cat espnet/egs/an4/asr1/conf/decode_ctcweight1.0.yaml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QvG4zpS2A55d"
   },
   "source": [
    "#### Command line usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 419
    },
    "colab_type": "code",
    "id": "R-NBPjKeRGdF",
    "outputId": "68cbd4b6-5479-48cf-b1e0-3bbb61d76fed"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dictionary: data/lang_1char/train_nodev_units.txt\n",
      "stage 5: Decoding\n",
      "2019-07-28 13:26:38,528 (splitjson:40) INFO: /usr/bin/python3 /content/espnet/egs/an4/asr1/../../../utils/splitjson.py --parts 8 dump/train_dev/deltafalse/data.json\n",
      "2019-07-28 13:26:38,530 (splitjson:52) INFO: number of utterances = 100\n",
      "2019-07-28 13:26:38,588 (splitjson:40) INFO: /usr/bin/python3 /content/espnet/egs/an4/asr1/../../../utils/splitjson.py --parts 8 dump/test/deltafalse/data.json\n",
      "2019-07-28 13:26:38,590 (splitjson:52) INFO: number of utterances = 130\n",
      "2019-07-28 13:37:48,300 (concatjson:36) INFO: /usr/bin/python3 /content/espnet/egs/an4/asr1/../../../utils/concatjson.py exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.1.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.2.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.3.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.4.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.5.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.6.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.7.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.8.json\n",
      "2019-07-28 13:37:48,303 (concatjson:46) INFO: new json has 100 utterances\n",
      "2019-07-28 13:37:50,231 (json2trn:43) INFO: /usr/bin/python3 /content/espnet/egs/an4/asr1/../../../utils/json2trn.py exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.json data/lang_1char/train_nodev_units.txt --num-spkrs 1 --refs exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/ref.trn --hyps exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/hyp.trn\n",
      "2019-07-28 13:37:50,231 (json2trn:45) INFO: reading exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/data.json\n",
      "2019-07-28 13:37:50,233 (json2trn:49) INFO: reading data/lang_1char/train_nodev_units.txt\n",
      "write a CER (or TER) result in exp/train_nodev_pytorch_train_mtlalpha1.0/decode_train_dev_decode_ctcweight1.0_lm_word100/result.txt\n",
      "|   SPKR     |  # Snt     # Wrd   |   Corr       Sub        Del        Ins       Err      S.Err   |\n",
      "|   Sum/Avg  |   100       1915   |   85.2       6.7        8.1        2.3      17.2       75.0   |\n",
      "2019-07-28 13:38:55,169 (concatjson:36) INFO: /usr/bin/python3 /content/espnet/egs/an4/asr1/../../../utils/concatjson.py exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.1.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.2.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.3.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.4.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.5.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.6.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.7.json exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.8.json\n",
      "2019-07-28 13:38:55,170 (concatjson:46) INFO: new json has 130 utterances\n",
      "2019-07-28 13:38:55,775 (json2trn:43) INFO: /usr/bin/python3 /content/espnet/egs/an4/asr1/../../../utils/json2trn.py exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.json data/lang_1char/train_nodev_units.txt --num-spkrs 1 --refs exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/ref.trn --hyps exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/hyp.trn\n",
      "2019-07-28 13:38:55,775 (json2trn:45) INFO: reading exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.json\n",
      "2019-07-28 13:38:55,778 (json2trn:49) INFO: reading data/lang_1char/train_nodev_units.txt\n",
      "write a CER (or TER) result in exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/result.txt\n",
      "|  SPKR     |  # Snt    # Wrd   |  Corr        Sub       Del       Ins       Err     S.Err   |\n",
      "|  Sum/Avg  |   130      2565   |  92.0        4.2       3.8       1.5       9.6      59.2   |\n"
     ]
    }
   ],
   "source": [
    "!cd espnet/egs/an4/asr1; ./run.sh  --stage 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "srTqqXSUA8Ip"
   },
   "source": [
    "#### ASR result as `data.json`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 384
    },
    "colab_type": "code",
    "id": "-cVdYPdLVXjh",
    "outputId": "e7f26b6e-3ed9-4f5e-b433-99cb2b4a6814"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"utts\": {\n",
      "        \"fcaw-an406-b\": {\n",
      "            \"output\": [\n",
      "                {\n",
      "                    \"name\": \"target1[1]\",\n",
      "                    \"rec_text\": \"<blank><blank><blank>RUBOU<blank>T<blank><blank><blank> T N E F THREE NINE<eos>\",\n",
      "                    \"rec_token\": \"<blank> <blank> <blank> R U B O U <blank> T <blank> <blank> <blank> <space> T <space> N <space> E <space> F <space> T H R E E <space> N I N E <eos>\",\n",
      "                    \"rec_tokenid\": \"0 0 0 20 23 4 17 23 0 22 0 0 0 2 22 2 16 2 7 2 8 2 22 10 20 7 7 2 16 11 16 7 29\",\n",
      "                    \"score\": -1.0287089347839355,\n",
      "                    \"shape\": [\n",
      "                        25,\n",
      "                        30\n",
      "                    ],\n",
      "                    \"text\": \"RUBOUT G M E F THREE NINE\",\n",
      "                    \"token\": \"R U B O U T <space> G <space> M <space> E <space> F <space> T H R E E <space> N I N E\",\n",
      "                    \"tokenid\": \"20 23 4 17 23 22 2 9 2 15 2 7 2 8 2 22 10 20 7 7 2 16 11 16 7\"\n",
      "                }\n",
      "            ],\n",
      "            \"utt2spk\": \"fcaw\"\n"
     ]
    }
   ],
   "source": [
    "!head -n20 espnet/egs/an4/asr1/exp/train_nodev_pytorch_train_mtlalpha1.0/decode_test_decode_ctcweight1.0_lm_word100/data.json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Saco557TUXrS"
   },
   "source": [
    "### Recognize speech from python\n",
    "\n",
    "Let's use  ESPnet as a library and the trained model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 104
    },
    "colab_type": "code",
    "id": "oPACozczdGfZ",
    "outputId": "cae37adb-02da-4472-cfbc-3545ea59e56c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cer.png\t\t snapshot.ep.1\t snapshot.ep.14  snapshot.ep.19  snapshot.ep.5\n",
      "log\t\t snapshot.ep.10  snapshot.ep.15  snapshot.ep.2\t snapshot.ep.6\n",
      "loss.png\t snapshot.ep.11  snapshot.ep.16  snapshot.ep.20  snapshot.ep.7\n",
      "model.json\t snapshot.ep.12  snapshot.ep.17  snapshot.ep.3\t snapshot.ep.8\n",
      "model.loss.best  snapshot.ep.13  snapshot.ep.18  snapshot.ep.4\t snapshot.ep.9\n"
     ]
    }
   ],
   "source": [
    "!ls espnet/egs/an4/asr1/exp/train_nodev_pytorch_train_mtlalpha1.0/results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "tjCX5QuWBzR8"
   },
   "source": [
    "#### recap: load speech from data.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 322
    },
    "colab_type": "code",
    "id": "1A8DRy39B28z",
    "outputId": "aec39c7b-622d-4f1d-e04c-0d5edf908464"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'fcaw-cen6-b: ONE FIVE TWO THREE SIX')"
      ]
     },
     "execution_count": 17,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Q7VaquLOdIDc3RWX8lwdfWG9fOJHacHE+TP4nHgCt+bZ0XXUibPPZSQU8VZZi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\nQ5pS8wwtfaS2SeoBsYkUmAAq4GAA+kmk61BdaTMC3bHUyS0d3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K99b6WgWxHLvzJAvpPJ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\n",
      "text/plain": [
       "<Figure size 999.325x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "import kaldiio\n",
    "\n",
    "# load 10-th speech/text in data.json\n",
    "root = \"espnet/egs/an4/asr1\"\n",
    "with open(root + \"/dump/test/deltafalse/data.json\", \"r\") as f:\n",
    "  test_json = json.load(f)[\"utts\"]\n",
    "  \n",
    "key, info = list(test_json.items())[10]\n",
    "\n",
    "# plot the speech feature\n",
    "fbank = kaldiio.load_mat(info[\"input\"][0][\"feat\"])\n",
    "plt.matshow(fbank.T[::-1])\n",
    "plt.title(key + \": \" + info[\"output\"][0][\"text\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "CnxYoah3BNy3"
   },
   "source": [
    "#### load model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 52
    },
    "colab_type": "code",
    "id": "Et9tvO1gVvo4",
    "outputId": "6aa4c794-191a-4759-8a9d-67915d3d2ac9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "groundtruth: ONE FIVE TWO THREE SIX\n",
      "prediction:  ONE FIVE TWO THREY SIX\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import torch\n",
    "import argparse\n",
    "from espnet.bin.asr_recog import get_parser\n",
    "from espnet.nets.pytorch_backend.e2e_asr import E2E\n",
    "\n",
    "root = \"espnet/egs/an4/asr1\"\n",
    "model_dir = root + \"/exp/train_nodev_pytorch_train_mtlalpha1.0/results\"\n",
    "\n",
    "# load model\n",
    "with open(model_dir + \"/model.json\", \"r\") as f:\n",
    "  idim, odim, conf = json.load(f)\n",
    "model = E2E(idim, odim, argparse.Namespace(**conf))\n",
    "model.load_state_dict(torch.load(model_dir + \"/model.loss.best\"))\n",
    "model.cpu().eval()\n",
    "\n",
    "# load token dict\n",
    "with open(root + \"/data/lang_1char/train_nodev_units.txt\", \"r\") as f:\n",
    "  token_list = [entry.split()[0] for entry in f]\n",
    "token_list.insert(0, '<blank>')\n",
    "token_list.append('<eos>')\n",
    "\n",
    "# recognize speech\n",
    "parser = get_parser()\n",
    "args = parser.parse_args([\"--beam-size\", \"2\", \"--ctc-weight\", \"1.0\", \"--result-label\", \"out.json\", \"--model\", \"\"])\n",
    "result = model.recognize(fbank, args, token_list)\n",
    "s = \"\".join(conf[\"char_list\"][y] for y in result[0][\"yseq\"]).replace(\"<eos>\", \"\").replace(\"<space>\", \" \").replace(\"<blank>\", \"\")\n",
    "\n",
    "print(\"groundtruth:\", info[\"output\"][0][\"text\"])\n",
    "print(\"prediction: \", s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 60
    },
    "colab_type": "code",
    "id": "lU8qZ2zEX2zd",
    "outputId": "3cf34bfa-5fca-47b4-e6c1-eca595b39fd3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 42,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "import kaldiio\n",
    "from IPython.display import Audio\n",
    "\n",
    "\n",
    "try:\n",
    "  d = os.getcwd()\n",
    "  os.chdir(root)\n",
    "  sr, wav = kaldiio.load_scp(\"data/test/wav.scp\")[key]\n",
    "finally:\n",
    "  os.chdir(d)\n",
    "Audio(wav, rate=sr)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "Copy of an4-meetup.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}