openspeech
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
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최종 버전 다운로드 (.zip)- --new-model-addition.md
- bug_report.md
- feature_request.md
- question-help.md
- PULL_REQUEST_TEMPLATE.md
- --new-model-addition.md
- bug_report.md
- feature_request.md
- question-help.md
- pre-commit.yaml
- PULL_REQUEST_TEMPLATE.md
- configuration.html
- cross_entropy.html
- configuration.html
- ctc.html
- configuration.html
- joint_ctc_cross_entropy.html
- configuration.html
- label_smoothed_cross_entropy.html
- configuration.html
- perplexity.html
- configuration.html
- transducer.html
- configuration.html
- filter_bank.html
- configuration.html
- melspectrogram.html
- configuration.html
- mfcc.html
- configuration.html
- spectrogram.html
- augment.html
- data_loader.html
- dataset.html
- load.html
- data_loader.html
- dataset.html
- sampler.html
- lit_data_module.html
- lit_data_module.html
- lit_data_module.html
- lstm_attention_decoder.html
- openspeech_decoder.html
- rnn_transducer_decoder.html
- transformer_decoder.html
- transformer_transducer_decoder.html
- conformer_encoder.html
- contextnet_encoder.html
- convolutional_lstm_encoder.html
- convolutional_transformer_encoder.html
- deepspeech2.html
- jasper.html
- lstm_encoder.html
- openspeech_encoder.html
- quartznet.html
- rnn_transducer_encoder.html
- transformer_encoder.html
- transformer_transducer_encoder.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- configurations.html
- model.html
- openspeech_ctc_model.html
- openspeech_encoder_decoder_model.html
- openspeech_language_model.html
- openspeech_model.html
- openspeech_transducer_model.html
- add_normalization.html
- additive_attention.html
- batchnorm_relu_rnn.html
- conformer_attention_module.html
- conformer_block.html
- conformer_convolution_module.html
- conformer_feed_forward_module.html
- conv2d_extractor.html
- conv2d_subsampling.html
- conv_base.html
- conv_group_shuffle.html
- deepspeech2_extractor.html
- depthwise_conv1d.html
- dot_product_attention.html
- glu.html
- jasper_block.html
- jasper_subblock.html
- location_aware_attention.html
- mask.html
- mask_conv1d.html
- mask_conv2d.html
- multi_head_attention.html
- pointwise_conv1d.html
- positional_encoding.html
- positionwise_feed_forward.html
- quartznet_block.html
- quartznet_subblock.html
- relative_multi_head_attention.html
- residual_connection_module.html
- swish.html
- time_channel_separable_conv1d.html
- transformer_embedding.html
- vgg_extractor.html
- wrapper.html
- lr_scheduler.html
- reduce_lr_on_plateau_scheduler.html
- transformer_lr_scheduler.html
- tri_stage_lr_scheduler.html
- warmup_reduce_lr_on_plateau_scheduler.html
- warmup_scheduler.html
- optimizer.html
- beam_search_base.html
- beam_search_ctc.html
- beam_search_lstm.html
- beam_search_rnn_transducer.html
- beam_search_transformer.html
- beam_search_transformer_transducer.html
- ensemble_search.html
- character.html
- character.html
- grapheme.html
- subword.html
- character.html
- subword.html
- tokenizer.html
- callbacks.html
- metrics.html
- index.html
- Conformer.rst.txt
- ContextNet.rst.txt
- DeepSpeech2.rst.txt
- Jasper.rst.txt
- Listen Attend Spell.rst.txt
- LSTM LM.rst.txt
- QuartzNet.rst.txt
- RNN Transducer.rst.txt
- Transformer LM.rst.txt
- Transformer Transducer.rst.txt
- Transformer.rst.txt
- AISHELL-1.rst.txt
- KsponSpeech.rst.txt
- LibriSpeech.rst.txt
- Openspeech CTC Model.rst.txt
- Openspeech Encoder Decoder Model.rst.txt
- Openspeech Language Model.rst.txt
- Openspeech Model.rst.txt
- Openspeech Transducer Model.rst.txt
- Callback.rst.txt
- Criterion.rst.txt
- Data Augment.rst.txt
- Data Loaders.rst.txt
- Datasets.rst.txt
- Decoders.rst.txt
- Encoders.rst.txt
- Feature Transform.rst.txt
- Metric.rst.txt
- Modules.rst.txt
- Optim.rst.txt
- Search.rst.txt
- Tokenizers.rst.txt
- configs.md.txt
- hydra_configs.md.txt
- intro.md.txt
- index.rst.txt
- fontawesome-webfont.eot
- fontawesome-webfont.svg
- fontawesome-webfont.ttf
- fontawesome-webfont.woff
- fontawesome-webfont.woff2
- lato-bold-italic.woff
- lato-bold-italic.woff2
- lato-bold.woff
- lato-bold.woff2
- lato-normal-italic.woff
- lato-normal-italic.woff2
- lato-normal.woff
- lato-normal.woff2
- Roboto-Slab-Bold.woff
- Roboto-Slab-Bold.woff2
- Roboto-Slab-Regular.woff
- Roboto-Slab-Regular.woff2
- badge_only.css
- theme.css
- badge_only.js
- html5shiv-printshiv.min.js
- html5shiv.min.js
- theme.js
- basic.css
- doctools.js
- documentation_options.js
- file.png
- jquery-3.5.1.js
- jquery.js
- language_data.js
- minus.png
- plus.png
- pygments.css
- searchtools.js
- underscore-1.3.1.js
- underscore.js
- Conformer.html
- ContextNet.html
- DeepSpeech2.html
- Jasper.html
- Listen Attend Spell.html
- LSTM LM.html
- QuartzNet.html
- RNN Transducer.html
- Transformer LM.html
- Transformer Transducer.html
- Transformer.html
- AISHELL-1.html
- KsponSpeech.html
- LibriSpeech.html
- Openspeech CTC Model.html
- Openspeech Encoder Decoder Model.html
- Openspeech Language Model.html
- Openspeech Model.html
- Openspeech Transducer Model.html
- Callback.html
- Criterion.html
- Data Augment.html
- Data Loaders.html
- Datasets.html
- Decoders.html
- Encoders.html
- Feature Transform.html
- Metric.html
- Modules.html
- Optim.html
- Search.html
- Tokenizers.html
- configs.html
- hydra_configs.html
- intro.html
- Conformer.rst
- ContextNet.rst
- DeepSpeech2.rst
- Jasper.rst
- Listen Attend Spell.rst
- LSTM LM.rst
- QuartzNet.rst
- RNN Transducer.rst
- Transformer LM.rst
- Transformer Transducer.rst
- Transformer.rst
- AISHELL-1.rst
- KsponSpeech.rst
- LibriSpeech.rst
- Openspeech CTC Model.rst
- Openspeech Encoder Decoder Model.rst
- Openspeech Language Model.rst
- Openspeech Model.rst
- Openspeech Transducer Model.rst
- Callback.rst
- Criterion.rst
- Data Augment.rst
- Data Loaders.rst
- Datasets.rst
- Decoders.rst
- Encoders.rst
- Feature Transform.rst
- Metric.rst
- Modules.rst
- Optim.rst
- Search.rst
- Tokenizers.rst
- configs.md
- hydra_configs.md
- intro.md
- conf.py
- index.rst
- .buildinfo
- .nojekyll
- genindex.html
- index.html
- make.bat
- Makefile
- objects.inv
- py-modindex.html
- search.html
- searchindex.js
- eval.yaml
- lm_train.yaml
- README.md
- train.yaml
- __init__.py
- configuration.py
- cross_entropy.py
- __init__.py
- configuration.py
- ctc.py
- __init__.py
- configuration.py
- joint_ctc_cross_entropy.py
- __init__.py
- configuration.py
- label_smoothed_cross_entropy.py
- __init__.py
- configuration.py
- perplexity.py
- __init__.py
- configuration.py
- transducer.py
- __init__.py
- __init__.py
- configuration.py
- filter_bank.py
- __init__.py
- configuration.py
- melspectrogram.py
- __init__.py
- configuration.py
- mfcc.py
- __init__.py
- configuration.py
- spectrogram.py
- __init__.py
- augment.py
- data_loader.py
- dataset.py
- load.py
- data_loader.py
- dataset.py
- __init__.py
- sampler.py
- __init__.py
- configurations.py
- initialize.py
- __init__.py
- lit_data_module.py
- preprocess.py
- __init__.py
- character.py
- grapheme.py
- preprocess.py
- subword.py
- __init__.py
- lit_data_module.py
- __init__.py
- lit_data_module.py
- __init__.py
- character.py
- preprocess.py
- subword.py
- __init__.py
- lit_data_module.py
- __init__.py
- README.md
- __init__.py
- lstm_attention_decoder.py
- openspeech_decoder.py
- rnn_transducer_decoder.py
- transformer_decoder.py
- transformer_transducer_decoder.py
- __init__.py
- conformer_encoder.py
- contextnet_encoder.py
- convolutional_lstm_encoder.py
- convolutional_transformer_encoder.py
- deepspeech2.py
- jasper.py
- lstm_encoder.py
- openspeech_encoder.py
- quartznet.py
- rnn_transducer_encoder.py
- squeezeformer_encoder.py
- transformer_encoder.py
- transformer_transducer_encoder.py
- __init__.py
- lstm_lm.py
- openspeech_lm.py
- transformer_lm.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- configurations.py
- model.py
- __init__.py
- openspeech_ctc_model.py
- openspeech_encoder_decoder_model.py
- openspeech_language_model.py
- openspeech_model.py
- openspeech_transducer_model.py
- README.md
- __init__.py
- add_normalization.py
- additive_attention.py
- batchnorm_relu_rnn.py
- conformer_attention_module.py
- conformer_block.py
- conformer_convolution_module.py
- conformer_feed_forward_module.py
- contextnet_block.py
- contextnet_module.py
- conv2d_extractor.py
- conv2d_subsampling.py
- conv_base.py
- conv_group_shuffle.py
- deepspeech2_extractor.py
- depthwise_conv1d.py
- depthwise_conv2d.py
- dot_product_attention.py
- glu.py
- jasper_block.py
- jasper_subblock.py
- location_aware_attention.py
- mask.py
- mask_conv1d.py
- mask_conv2d.py
- multi_head_attention.py
- pointwise_conv1d.py
- positional_encoding.py
- positionwise_feed_forward.py
- quartznet_block.py
- quartznet_subblock.py
- relative_multi_head_attention.py
- residual_connection_module.py
- squeezeformer_attention_module.py
- squeezeformer_block.py
- squeezeformer_module.py
- swish.py
- time_channel_separable_conv1d.py
- transformer_embedding.py
- vgg_extractor.py
- wrapper.py
- __init__.py
- lr_scheduler.py
- reduce_lr_on_plateau_scheduler.py
- transformer_lr_scheduler.py
- tri_stage_lr_scheduler.py
- warmup_reduce_lr_on_plateau_scheduler.py
- warmup_scheduler.py
- __init__.py
- adamp.py
- novograd.py
- optimizer.py
- radam.py
- __init__.py
- beam_search_base.py
- beam_search_ctc.py
- beam_search_lstm.py
- beam_search_rnn_transducer.py
- beam_search_transformer.py
- beam_search_transformer_transducer.py
- ensemble_search.py
- __init__.py
- character.py
- __init__.py
- character.py
- grapheme.py
- subword.py
- __init__.py
- character.py
- subword.py
- __init__.py
- tokenizer.py
- __init__.py
- callbacks.py
- metrics.py
- README.md
- utils.py
- generate_openspeech_configs.py
- hydra_ensemble_eval.py
- hydra_eval.py
- hydra_lm_train.py
- hydra_train.py
- test_conformer.py
- test_conformer_lstm.py
- test_conformer_transducer.py
- test_contextnet.py
- test_contextnet_lstm.py
- test_contextnet_transducer.py
- test_conv2d_subsampling.py
- test_deep_cnn_with_joint_ctc_listen_attend_spell.py
- test_deepspeech2.py
- test_jasper10x5.py
- test_jasper5x3.py
- test_joint_ctc_conformer_lstm.py
- test_joint_ctc_listen_attend_spell.py
- test_joint_ctc_transformer.py
- test_listen_attend_spell.py
- test_listen_attend_spell_with_location_aware.py
- test_listen_attend_spell_with_multi_head.py
- test_lstm_for_causal_lm.py
- test_quartznet10x5.py
- test_quartznet15x5.py
- test_quartznet5x5.py
- test_rnn_transducer.py
- test_squeezeformer.py
- test_squeezeformer_lstm.py
- test_squeezeformer_transducer.py
- test_transformer.py
- test_transformer_transducer.py
- test_transformer_with_ctc.py
- test_vgg_transformer.py
- test_audio_augment.py
- test_lstm_lm.py
- test_transformer_for_causal_lm.py
- test_transformer_lm.py
- labels.csv
- test_lr_scheduler.py
- test_warprnnt_loss.py
- .gitignore
- .pre-commit-config.yaml
- CONTRIBUTING.md
- CONTRIBUTORS.md
- install.sh
- LICENSE
- LICENSE.3rd_party_library
- README.md
- requirements.txt
- setup.cfg
- setup.py
🚀 설치 가이드
1. 코드 내려받기
git clone https://github.com/openspeech-team/openspeech
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd openspeech
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. 공식 설치 스크립트
쉬움 추천사전 준비물
- Python 3 pip 명령어를 쓰려면 Python이 필요합니다.
pip install openspeech-core
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
3. Python
쉬움사전 준비물
pip install openspeech-core
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
$ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
4. Make
보통사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Make Linux/macOS는 보통 기본 설치되어 있습니다. Windows는 별도 설치(예: MSYS2, WSL)가 필요합니다.
cd docs
이 프로젝트의 관련 파일이 하위 폴더 안에 있어서, 먼저 그 폴더로 이동합니다.
make
생성된 빌드 설정을 바탕으로 실제 컴파일을 진행해 실행 파일을 만듭니다.
에러 없이 끝나면 성공입니다. 생성된 실행 파일을 직접 실행해보세요.
// repository documentation
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