From 36ef0b6119f1cb9cbad0486ae868a706a318a27f Mon Sep 17 00:00:00 2001 From: KimSooHwan Date: Thu, 5 Mar 2020 16:09:08 +0900 Subject: [PATCH] Add setup.py --- .idea/.gitignore | 2 + .idea/Korean-Speech-Recognition.iml | 12 ++ .../inspectionProfiles/profiles_settings.xml | 6 + .idea/misc.xml | 4 + .idea/modules.xml | 8 ++ .idea/vcs.xml | 6 + docs/build/doctrees/Dataset.doctree | Bin 28384 -> 2272 bytes docs/build/doctrees/Distance.doctree | Bin 6843 -> 4954 bytes docs/build/doctrees/Evaluator.doctree | Bin 9292 -> 2282 bytes docs/build/doctrees/Feature.doctree | Bin 33417 -> 2272 bytes docs/build/doctrees/Hparams.doctree | Bin 21970 -> 2272 bytes docs/build/doctrees/Label.doctree | Bin 10058 -> 12475 bytes docs/build/doctrees/Load.doctree | Bin 16209 -> 16207 bytes docs/build/doctrees/Loader.doctree | Bin 15585 -> 2267 bytes docs/build/doctrees/Loss.doctree | Bin 15249 -> 15247 bytes docs/build/doctrees/Lr.doctree | Bin 11602 -> 12378 bytes docs/build/doctrees/Models.doctree | Bin 90236 -> 90234 bytes docs/build/doctrees/Trainer.doctree | Bin 13374 -> 2272 bytes docs/build/doctrees/environment.pickle | Bin 3232305 -> 3202185 bytes docs/build/doctrees/index.doctree | Bin 4135 -> 4133 bytes .../build/doctrees/notes/More-details.doctree | Bin 50218 -> 50216 bytes docs/build/doctrees/notes/Preparation.doctree | Bin 80169 -> 80167 bytes docs/build/doctrees/notes/intro.doctree | Bin 19510 -> 20680 bytes docs/build/html/Dataset.html | 91 +------------- docs/build/html/Distance.html | 23 ++-- docs/build/html/Evaluator.html | 31 +---- docs/build/html/Feature.html | 115 +----------------- docs/build/html/Hparams.html | 39 +----- docs/build/html/Label.html | 22 +++- docs/build/html/Loader.html | 54 +------- docs/build/html/Lr.html | 17 ++- docs/build/html/Trainer.html | 35 +----- docs/build/html/_modules/index.html | 7 -- docs/build/html/_modules/train/lr.html | 18 +-- docs/build/html/_modules/utils/label.html | 17 ++- docs/build/html/_modules/utils/load.html | 18 +++ docs/build/html/_sources/notes/intro.md.txt | 12 +- docs/build/html/genindex.html | 71 +---------- docs/build/html/notes/intro.html | 9 ++ docs/build/html/objects.inv | Bin 1007 -> 781 bytes docs/build/html/py-modindex.html | 30 ----- docs/build/html/searchindex.js | 2 +- docs/source/notes/intro.md | 12 +- main.py | 5 + setup.py | 15 +++ train/__pycache__/evaluator.cpython-37.pyc | Bin 1749 -> 2083 bytes train/__pycache__/trainer.cpython-37.pyc | Bin 2790 -> 3315 bytes utils/__pycache__/dataset.cpython-37.pyc | Bin 6472 -> 6689 bytes utils/__pycache__/define.cpython-37.pyc | Bin 2109 -> 1962 bytes utils/__pycache__/feature.cpython-37.pyc | Bin 5364 -> 5498 bytes utils/__pycache__/hparams.cpython-37.pyc | Bin 3483 -> 4698 bytes utils/__pycache__/load.cpython-37.pyc | Bin 3051 -> 3050 bytes utils/__pycache__/loader.cpython-37.pyc | Bin 3698 -> 4175 bytes 53 files changed, 186 insertions(+), 495 deletions(-) create mode 100644 .idea/.gitignore create mode 100644 .idea/Korean-Speech-Recognition.iml create mode 100644 .idea/inspectionProfiles/profiles_settings.xml create mode 100644 .idea/misc.xml create mode 100644 .idea/modules.xml create mode 100644 .idea/vcs.xml create mode 100644 setup.py diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 00000000..5c98b428 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,2 @@ +# Default ignored files +/workspace.xml \ No newline at end of file diff --git a/.idea/Korean-Speech-Recognition.iml b/.idea/Korean-Speech-Recognition.iml new file mode 100644 index 00000000..7c9d48f0 --- /dev/null +++ b/.idea/Korean-Speech-Recognition.iml @@ -0,0 +1,12 @@ + + + + + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 00000000..105ce2da --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git 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      -
      -

      Dataset

      -
      -
      -class utils.dataset.BaseDataset(audio_paths, label_paths, sos_id, eos_id, target_dict=None, input_reverse=True, use_augment=True, batch_size=None, augment_ratio=1.0, pack_by_length=True)[source]
      -

      Dataset for audio & label matching

      -
      -
      Args: audio_paths, label_paths, bos_id, eos_id, target_dict
      -
        -
      • audio_paths (list): set of audio path
      • -
      • label_paths (list): set of label paths
      • -
      • bos_id (int): <s>`s id
      • -
      • eos_id (int): </s>`s id
      • -
      • target_dict (dict): dictionary of filename and labels
      • -
      -
      -
      Inputs:
      -
        -
      • index (int): index of dataset`s
      • -
      -
      -
      Outputs:
      -
        -
      • feat: feature vector for audio
      • -
      • label: label for audio
      • -
      -
      -
      -
      -
      -augmentation()[source]
      -

      Apply Spec-Augmentation

      -
      - -
      -
      -batch_shuffle(remain_drop=False)[source]
      -

      batch shuffle

      -
      - -
      -
      -shuffle()[source]
      -

      Shuffle Dataset

      -
      - -
      -
      -sort_by_length()[source]
      -

      descending sort by sequence length

      -
      - -
      - -
      -
      -utils.dataset.split_dataset(hparams, audio_paths, label_paths, valid_ratio=0.05, target_dict=None)[source]
      -

      Dataset split into training and validation Dataset.

      -
      -
      Inputs: hparams, audio_paths, label_paths, target_dict
      -
        -
      • valid_ratio (float): ratio for validation data
      • -
      • hparams (HyperParams): set of hyper parameters
      • -
      • audio_paths (list): set of audio path
      • -
      • label_paths (list): set of label path
      • -
      • target_dict (dict): dictionary of filename and labels
      • -
      -
      -
      Local Variables:
      -
        -
      • train_num (int): num of training data
      • -
      • batch_num (int): total num of batch
      • -
      • valid_batch_num (int): num of batch for validation
      • -
      • train_num_per_worker (int): num of train data per CPU core
      • -
      • data_paths (list): temp variables for audio_paths and label_paths to be shuffled in the same order
      • -
      • train_begin_idx (int): begin index of worker`s training dataset
      • -
      • train_end_idx (int): end index of worker`s training dataset
      • -
      -
      -
      Outputs: train_batch_num, train_dataset_list, valid_dataset
      -
        -
      • train_batch_num (int): num of batch for training
      • -
      • train_dataset_list (list): list of training data
      • -
      • valid_dataset (BaseDataset): list of validation data
      • -
      -
      -
      -
      - +
      +

      Dataset

      diff --git a/docs/build/html/Distance.html b/docs/build/html/Distance.html index cab95725..1b748128 100644 --- a/docs/build/html/Distance.html +++ b/docs/build/html/Distance.html @@ -175,18 +175,17 @@

      Distance

      -
      -
      -utils.distance.char_distance(target, y_hat)[source]
      -

      get Levenshtein distance

      -
      - -
      -
      -utils.distance.get_distance(targets, y_hats, id2char, eos_id)[source]
      -

      get character distance

      -
      - +

      Copyright 2020- Kai.Lib +Licensed under the Apache License, Version 2.0 (the “License”); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at

      +
      +
      +

      Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an “AS IS” BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License.

      diff --git a/docs/build/html/Evaluator.html b/docs/build/html/Evaluator.html index 63d49060..8e0ba82a 100644 --- a/docs/build/html/Evaluator.html +++ b/docs/build/html/Evaluator.html @@ -173,35 +173,8 @@
      -
      -

      Evaluator

      -
      -
      -train.evaluator.evaluate(model, queue, criterion, device)[source]
      -
      --- - - - -
      Parameters:
        -
      • model (-) – Model to be evaluated
      • -
      • queue (-) – queue for threading
      • -
      • criterion (-) – loss function ex) nn.CrossEntropyLoss, LabelSmoothingLoss etc ..
      • -
      • device (-) – device used (‘cuda’ or ‘cpu’)
      • -
      -
      -
      -
      Outputs:
      -
        -
      • loss: loss of evalution
      • -
      • cer: character error rate of evaluation
      • -
      -
      -
      -
      - +
      +

      Evaluator

      diff --git a/docs/build/html/Feature.html b/docs/build/html/Feature.html index 61373a42..a73968cd 100644 --- a/docs/build/html/Feature.html +++ b/docs/build/html/Feature.html @@ -173,119 +173,8 @@
      -
      -

      Feature

      -
      -
      -utils.feature.get_librosa_melspectrogram(filepath, n_mels=80, del_silence=False, input_reverse=True, mel_type='log_mel', format='pcm')[source]
      -

      Provides Mel-Spectrogram (or Log-Mel) for Audio

      - --- - - - -
      Parameters:
        -
      • filepath (-) – specific path of audio file
      • -
      • n_mels (-) – number of mel filter
      • -
      • del_silence (-) – flag indication whether to delete silence or not (default: True)
      • -
      • mel_type (-) – if ‘log_mel’ return log-mel (default: ‘log_mel’)
      • -
      • input_reverse (-) – flag indication whether to reverse input or not (default: True)
      • -
      • format (-) – file format ex) pcm, wav (default: pcm)
      • -
      -
      -
      -
      Feature Parameters:
      -
        -
      • sample rate: A.I Hub dataset`s sample rate is 16,000
      • -
      • frame length: 25ms
      • -
      • stride: 10ms
      • -
      • overlap: 15ms
      • -
      • window: Hamming Window
      • -
      • n_fft: sr * frame_length (16,000 * 30ms)
      • -
      • hop_length: sr * stride (16,000 * 7.5ms)
      • -
      -
      -
      Outputs:
      -
      feat: return Mel-Spectrogram (or Log-Mel)
      -
      -
      - -
      -
      -utils.feature.get_librosa_mfcc(filepath=None, n_mfcc=33, del_silence=False, input_reverse=True, format='pcm')[source]
      -

      : -Provides Mel Frequency Cepstral Coefficient (MFCC) for Audio

      - --- - - - -
      Parameters:
        -
      • filepath (-) – specific path of audio file
      • -
      • n_mfcc (-) – number of mel filter
      • -
      • del_silence (-) – flag indication whether to delete silence or not (default: True)
      • -
      • input_reverse (-) – flag indication whether to reverse input or not (default: True)
      • -
      • format (-) – file format ex) pcm, wav (default: pcm)
      • -
      -
      -
      -
      Feature Parameters:
      -
        -
      • sample rate: A.I Hub dataset`s sample rate is 16,000
      • -
      • frame length: 25ms
      • -
      • stride: 10ms
      • -
      • overlap: 15ms
      • -
      • window: Hamming Window
      • -
      • n_fft: sr * frame_length (16,000 * 30ms)
      • -
      • hop_length: sr * stride (16,000 * 7.5ms)
      • -
      -
      -
      Outputs
      -
        -
      • feat (torch.Tensor): MFCC values of signal
      • -
      -
      -
      -
      - -
      -
      -utils.feature.spec_augment(feat, T=70, F=20, time_mask_num=2, freq_mask_num=2)[source]
      -

      Provides Augmentation for audio

      - --- - - - -
      Parameters:
        -
      • feat (-) – input data feature
      • -
      • T (-) – Hyper Parameter for Time Masking to limit time masking length
      • -
      • F (-) – Hyper Parameter for Freq Masking to limit freq masking length
      • -
      • time_mask_num (-) – how many time-masked area to make
      • -
      • freq_mask_num (-) – how many freq-masked area to make
      • -
      -
      -
      -
      Outputs:
      -
        -
      • feat: Augmented feature
      • -
      -
      -
      Reference :
      -
      -
      「SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition」Google Brain Team. 2019.
      -
      https://github.com/DemisEom/SpecAugment/blob/master/SpecAugment/spec_augment_pytorch.py
      -
      -
      -
      -
      - +
      +

      Feature

      diff --git a/docs/build/html/Hparams.html b/docs/build/html/Hparams.html index ca993551..d795ec1d 100644 --- a/docs/build/html/Hparams.html +++ b/docs/build/html/Hparams.html @@ -173,43 +173,8 @@
      -
      -

      Hparams

      -
      -
      -class utils.hparams.HyperParams(use_bidirectional=True, use_attention=True, use_label_smooth=True, input_reverse=True, use_augment=True, use_pickle=False, use_pyramidal=True, use_cuda=True, pack_by_length=True, augment_ratio=1.0, hidden_size=256, dropout=0.5, listener_layer_size=6, speller_layer_size=3, batch_size=8, worker_num=1, max_epochs=40, use_multistep_lr=False, init_lr=0.0001, high_plateau_lr=0.001, low_plateau_lr=3e-05, teacher_forcing=0.9, seed=1, max_len=328)[source]
      -

      Set of Hyperparameters

      -
      -
      Hyperparameters:
      -
        -
      • use_bidirectional (bool): if True, becomes a bidirectional listener (default: True)
      • -
      • use_attention (bool): flag indication whether to use attention mechanism or not (default: True)
      • -
      • use_label_smooth (bool): flagindication whether to use label smoothing or not (default: True)
      • -
      • input_reverse (bool): flag indication whether to reverse input feature or not (default: True)
      • -
      • use_pickle (bool): flag indication whether to load data from pickle or not (default: False)
      • -
      • use_augment (bool): flag indication whether to use spec-augmentation or not (default: True)
      • -
      • use_pyramidal (bool): flag indication whether to use pyramidal rnn in listener or not (default: True)
      • -
      • use_multistep_lr (bool): flag indication whether to use multistep leraning rate or not (default:False)
      • -
      • augment_ratio (float): ratio of spec-augmentation applied data (default: 1.0)
      • -
      • listener_layer_size (int): num of listener`s RNN cell (default: 6)
      • -
      • speller_layer_size (int): num of speller`s RNN cell (default: 3)
      • -
      • hidden_size (int): size of hidden state of RNN (default: 256)
      • -
      • dropout (float): dropout probability (default: 0.5)
      • -
      • batch_size (int): mini-batch size (default: 12)
      • -
      • worker_num (int): num of cpu core will be used (default: 1)
      • -
      • max_epochs (int): max epoch (default: 40)
      • -
      • init_lr (float): initial learning rate (default: 1e-4)
      • -
      • high_plateau_lr (float): maximum learning rate after the ramp up phase (default: -)
      • -
      • low_plateau_lr (float): Steps to be maintained at a certain number to avoid extremely slow learning (default: -)
      • -
      • teacher_forcing (float): The probability that teacher forcing will be used (default: 0.90)
      • -
      • seed (int): seed for random (default: 1)
      • -
      • max_len (int): a maximum allowed length for the sequence to be processed (default: 120)
      • -
      • use_cuda (bool): if True, use CUDA (default: True)
      • -
      -
      -
      -
      - +
      +

      Hparams

      diff --git a/docs/build/html/Label.html b/docs/build/html/Label.html index ebc01b21..b74d63a0 100644 --- a/docs/build/html/Label.html +++ b/docs/build/html/Label.html @@ -175,19 +175,31 @@

      Label

      +

      Copyright 2020- Kai.Lib +Licensed under the Apache License, Version 2.0 (the “License”); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at

      +
      +
      +

      Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an “AS IS” BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License.

      utils.label.get_label(filepath, sos_id=2037, eos_id=2038, target_dict=None)[source]
      -

      Provides specific file`s label to list format.

      -
      -
      Inputs: filepath, bos_id, eos_id, target_dict
      -
        +

        Provides specific file`s label to list format. +Inputs: filepath, bos_id, eos_id, target_dict

        +
        +
        • filepath: specific path of label file
        • bos_id: <s>`s id
        • eos_id: </s>`s id
        • target_dict: dictionary of filename and labels
        -
        +
      +
      Outputs: label
      • label: list of bos + sequence of label + eos
      • diff --git a/docs/build/html/Loader.html b/docs/build/html/Loader.html index 7ab02c73..4abb1dd3 100644 --- a/docs/build/html/Loader.html +++ b/docs/build/html/Loader.html @@ -172,58 +172,8 @@
        -
        -

        Loader

        -
        -
        -class utils.loader.BaseDataLoader(dataset, queue, batch_size, thread_id)[source]
        -

        Base Data Loader

        - --- - - - -
        Parameters:
          -
        • dataset (-) – object of BaseDataset
        • -
        • queue (-) – queue for threading
        • -
        • batch_size (-) – size of batch
        • -
        • thread_id (-) – identification of thread
        • -
        -
        -
        -
        -run()[source]
        -

        Method representing the thread’s activity.

        -

        You may override this method in a subclass. The standard run() method -invokes the callable object passed to the object’s constructor as the -target argument, if any, with sequential and keyword arguments taken -from the args and kwargs arguments, respectively.

        -
        - -
        - -
        -
        -class utils.loader.MultiLoader(dataset_list, queue, batch_size, worker_num)[source]
        -

        Multi Data Loader using Threads.

        - --- - - - -
        Parameters:
          -
        • dataset (-) – object of BaseDataset
        • -
        • queue (-) – queue for threading
        • -
        • batch_size (-) – size of batch
        • -
        • worker_num (-) – the number of cpu cores used
        • -
        -
        -
        - +
        +

        Loader

        diff --git a/docs/build/html/Lr.html b/docs/build/html/Lr.html index 7e835bdf..37de8ed6 100644 --- a/docs/build/html/Lr.html +++ b/docs/build/html/Lr.html @@ -175,12 +175,17 @@

        Lr

        -

        Multi-Step Learning Rate

        -
        -
        Reference:
        -
        SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition -https://arxiv.org/abs/1904.08779
        -
        +

        Copyright 2020- Kai.Lib +Licensed under the Apache License, Version 2.0 (the “License”); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at

        +
        +
        +

        Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an “AS IS” BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License.

        train.lr.exp_decay(optimizer, total_time_step, hparams)[source]
        diff --git a/docs/build/html/Trainer.html b/docs/build/html/Trainer.html index f61c7334..31f9b763 100644 --- a/docs/build/html/Trainer.html +++ b/docs/build/html/Trainer.html @@ -173,39 +173,8 @@
        -
        -

        Trainer

        -
        -
        -train.trainer.train(model, hparams, epoch, total_time_step, queue, criterion, optimizer, device, train_begin, worker_num, print_time_step=10, teacher_forcing_ratio=0.9)[source]
        -
        --- - - - -
        Parameters:
          -
        • model (-) – Model to be trained
        • -
        • optimizer (-) – optimizer for training
        • -
        • teacher_forcing_ratio (-) – The probability that teacher forcing will be used (default: 0.90)
        • -
        • print_time_step (-) – Parameters to determine how many steps to output
        • -
        • queue (-) – queue for threading
        • -
        • criterion (-) – loss function ex) nn.CrossEntropyLoss, LabelSmoothingLoss etc ..
        • -
        • device (-) – device used (‘cuda’ or ‘cpu’)
        • -
        • worker_num (-) – the number of cpu cores used
        • -
        -
        -
        -
        Outputs:
        -
          -
        • error_rate (float): error rate of present epoch
        • -
        • loss (float): loss of present epoch
        • -
        -
        -
        -
        - +
        +

        Trainer

        diff --git a/docs/build/html/_modules/index.html b/docs/build/html/_modules/index.html index 6c463d48..3f62c295 100644 --- a/docs/build/html/_modules/index.html +++ b/docs/build/html/_modules/index.html @@ -173,17 +173,10 @@

        All modules for which code is available

      • models.listenAttendSpell
      • models.listener
      • models.speller
      • -
      • train.evaluator
      • train.loss
      • train.lr
      • -
      • train.trainer
      • -
      • utils.dataset
      • -
      • utils.distance
      • -
      • utils.feature
      • -
      • utils.hparams
      • utils.label
      • utils.load
      • -
      • utils.loader
      diff --git a/docs/build/html/_modules/train/lr.html b/docs/build/html/_modules/train/lr.html index 8b574e03..61966c25 100644 --- a/docs/build/html/_modules/train/lr.html +++ b/docs/build/html/_modules/train/lr.html @@ -170,13 +170,17 @@

      Source code for train.lr

      -
      -"""
      -Multi-Step Learning Rate
      -
      -Reference:
      -    SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
      -    https://arxiv.org/abs/1904.08779
      +"""
      +Copyright 2020- Kai.Lib
      +Licensed under the Apache License, Version 2.0 (the "License");
      +you may not use this file except in compliance with the License.
      +You may obtain a copy of the License at
      +      http://www.apache.org/licenses/LICENSE-2.0
      +Unless required by applicable law or agreed to in writing, software
      +distributed under the License is distributed on an "AS IS" BASIS,
      +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
      +See the License for the specific language governing permissions and
      +limitations under the License.
       """
       
       
      [docs]def set_lr(optimizer, lr): diff --git a/docs/build/html/_modules/utils/label.html b/docs/build/html/_modules/utils/label.html index 24a8ffeb..d6d95afc 100644 --- a/docs/build/html/_modules/utils/label.html +++ b/docs/build/html/_modules/utils/label.html @@ -170,16 +170,27 @@

      Source code for utils.label

      -
      [docs]def get_label(filepath, sos_id=2037, eos_id=2038, target_dict=None): +""" +Copyright 2020- Kai.Lib +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + http://www.apache.org/licenses/LICENSE-2.0 +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +""" + +
      [docs]def get_label(filepath, sos_id=2037, eos_id=2038, target_dict=None): """ Provides specific file`s label to list format. - Inputs: filepath, bos_id, eos_id, target_dict - **filepath**: specific path of label file - **bos_id**: <s>`s id - **eos_id**: </s>`s id - **target_dict**: dictionary of filename and labels - Outputs: label - **label**: list of bos + sequence of label + eos """ diff --git a/docs/build/html/_modules/utils/load.html b/docs/build/html/_modules/utils/load.html index 77aabb97..c049fd98 100644 --- a/docs/build/html/_modules/utils/load.html +++ b/docs/build/html/_modules/utils/load.html @@ -176,6 +176,8 @@

      Source code for utils.load

       import pandas as pd
       import csv
       from tqdm import trange
      +from utils.define import logger, TRAIN_DATASET_PICKLE_PATH, VALID_DATASET_PICKLE_PATH
      +from utils.save import save_pickle
       
       
       
      [docs]def load_targets(label_paths): @@ -195,6 +197,7 @@

      Source code for utils.load

                   label = f.readline()
                   file_num = label_txt.split('/')[-1].split('.')[0].split('_')[-1]
                   target_dict['KaiSpeech_label_%s' % file_num] = label
      +    save_pickle(target_dict, "./data/pickle/target_dict.bin", message="target_dict save complete !!")
           return target_dict
      [docs]def load_data_list(data_list_path, dataset_path): @@ -241,7 +244,22 @@

      Source code for utils.load

           """ load pickle file """
           with open(filepath, "rb") as f:
               load_result = pickle.load(f)
      +        logger.info(message)
               return load_result
      + +def load_dataset(hparams, audio_paths, valid_ratio=0.05): + batch_num = math.ceil(len(audio_paths) / hparams.batch_size) + valid_batch_num = math.ceil(batch_num * valid_ratio) + train_batch_num = batch_num - valid_batch_num + if hparams.use_augmentation: train_batch_num *= int(1 + hparams.augment_ratio) + + with open(TRAIN_DATASET_PICKLE_PATH, 'rb') as f: + train_dataset = pickle.load(f) + + with open(VALID_DATASET_PICKLE_PATH, 'rb') as f: + valid_dataset = pickle.load(f) + + return train_batch_num, train_dataset, valid_dataset
      diff --git a/docs/build/html/_sources/notes/intro.md.txt b/docs/build/html/_sources/notes/intro.md.txt index 27d9ea81..77799b0a 100644 --- a/docs/build/html/_sources/notes/intro.md.txt +++ b/docs/build/html/_sources/notes/intro.md.txt @@ -1,4 +1,4 @@ -# Introduction +# Introduction This is project for Korean Speech Recognition Using LAS (Listen, Attend and Spell) models implemented in [PyTorch](http://pytorch.org). We appreciate any kind of feedback or contribution. @@ -36,7 +36,15 @@ We recommend creating a new virtual environment for this project (using virtuale * librosa: `pip install librosa` (Refer [here](https://github.com/librosa/librosa) for problem installing librosa) * tqdm: `pip install tqdm` (Refer [here](https://github.com/tqdm/tqdm) for problem installing tqdm) - +### Install from source + +Currently we only support installation from source code using setuptools. Checkout the source code and run the following +commands: +``` +$ python setup.py build +$ python setup.py install +``` + ## Get Started ### Preparation before Training diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index ebb8deb8..7e91459b 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -180,7 +180,6 @@

      Index

      | E | F | G - | H | L | M | P @@ -194,10 +193,6 @@

      A

      -
      @@ -205,14 +200,6 @@

      A

      B

      - @@ -220,10 +207,6 @@

      B

      C

      -
      • conv (models.listener.Listener attribute)
      • @@ -232,10 +215,6 @@

        C

        E

        - - - - - - - @@ -252,26 +242,11 @@

        Python Module Index

        - - - - - - - - - - - -
        train
            - train.evaluator -
            @@ -238,11 +233,6 @@

        Python Module Index

            train.lr
            - train.trainer -
         
        u
        utils
            - utils.dataset -
            utils.distance
            - utils.feature -
            - utils.hparams -
            @@ -282,11 +257,6 @@

        Python Module Index

            utils.load
            - utils.loader -
        diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js index a0cf6dc2..91655dc4 100644 --- a/docs/build/html/searchindex.js +++ b/docs/build/html/searchindex.js @@ -1 +1 @@ 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a/docs/source/notes/intro.md b/docs/source/notes/intro.md index 27d9ea81..77799b0a 100644 --- a/docs/source/notes/intro.md +++ b/docs/source/notes/intro.md @@ -1,4 +1,4 @@ -# Introduction +# Introduction This is project for Korean Speech Recognition Using LAS (Listen, Attend and Spell) models implemented in [PyTorch](http://pytorch.org). We appreciate any kind of feedback or contribution. @@ -36,7 +36,15 @@ We recommend creating a new virtual environment for this project (using virtuale * librosa: `pip install librosa` (Refer [here](https://github.com/librosa/librosa) for problem installing librosa) * tqdm: `pip install tqdm` (Refer [here](https://github.com/tqdm/tqdm) for problem installing tqdm) - +### Install from source + +Currently we only support installation from source code using setuptools. Checkout the source code and run the following +commands: +``` +$ python setup.py build +$ python setup.py install +``` + ## Get Started ### Preparation before Training diff --git a/main.py b/main.py index fe32e031..02ec40af 100644 --- a/main.py +++ b/main.py @@ -120,11 +120,15 @@ train_begin = time.time() for epoch in range(hparams.max_epochs): + print("1") train_queue = queue.Queue(hparams.worker_num << 1) for train_dataset in train_dataset_list: train_dataset.shuffle() + print("2") train_loader = MultiLoader(train_dataset_list, train_queue, hparams.batch_size, hparams.worker_num) + print("3") train_loader.start() + print("4") train_loss, train_cer = train( model = model, total_time_step = total_time_step, @@ -139,6 +143,7 @@ print_time_step = 10, teacher_forcing_ratio = hparams.teacher_forcing ) + print("5") torch.save(model, "model.pt") torch.save(model, "./data/weight_file/epoch%s.pt" % str(epoch)) logger.info('Epoch %d (Training) Loss %0.4f CER %0.4f' % (epoch, train_loss, train_cer)) diff --git a/setup.py b/setup.py new file mode 100644 index 00000000..6239904d --- /dev/null +++ b/setup.py @@ -0,0 +1,15 @@ +from distutils.core import setup +import setuptools + +setup( + name='Korean-Speech-Recognition', + version='1.0', + install_requires=[ + 'torch>=1.2.0', + 'python-Levenshtein', + 'librosa >= 0.7.0', + 'numpy', + 'pandas', + 'tqdm' + ] +) \ No newline at end of file diff --git a/train/__pycache__/evaluator.cpython-37.pyc b/train/__pycache__/evaluator.cpython-37.pyc index 19f212064add6ee12cc2204fcd3ddc6bef9ff1dd..ff05dfa70f8c095fa8f1ef6142e083edb6b9aadc 100644 GIT binary patch delta 712 zcmZ8e-HOvd7@e6+(rh;E%3g?2aA!g2rfOMHZ^|P0d$lU--bj?K+01ksNRv95SyZxA zLGj89$qTgX6Das3;!U4GAHaLRXvlN5&-zE(ir%0g*<||W-QAta?iAtxeHBq1J zqri)vVT3#e=e9g5x^raMRn~3~b1u?$yUQLLz*No-1rx_nsv{-%QtL}Cv@or6!1}pl zYA}`};z@S2)EUb}37O=X=}z;aV11p%3Irxz1uV-tcO|IzGbQuU>s^3X*lu(v(*0qc zs{xEN8WSpJozBu^E{>CU9%6ymSQmn`tyZjg)M5~+6_0c)@aC?^T8*^&Z)20^U#`5r 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