From 1de47d1a9af1bb556837cd37c15cde1eb430fdfe Mon Sep 17 00:00:00 2001 From: alokprasad Date: Tue, 10 Mar 2020 16:43:45 +0530 Subject: [PATCH] Original Fastspeech and Squeezewave --- FastSpeech/.gitignore | 114 ++++ FastSpeech/LICENSE | 21 + FastSpeech/README.md | 68 +++ FastSpeech/alignments.zip | Bin 0 -> 4161537 bytes FastSpeech/audio/__init__.py | 4 + FastSpeech/audio/audio_processing.py | 94 +++ FastSpeech/audio/hparams.py | 8 + FastSpeech/audio/stft.py | 158 ++++++ FastSpeech/audio/tools.py | 66 +++ FastSpeech/data/ljspeech.py | 34 ++ FastSpeech/dataset.py | 124 ++++ FastSpeech/fastspeech.py | 54 ++ FastSpeech/glow.py | 317 +++++++++++ FastSpeech/hparams.py | 52 ++ FastSpeech/img/model.png | Bin 0 -> 322532 bytes FastSpeech/img/model_test.jpg | Bin 0 -> 140524 bytes FastSpeech/img/tacotron2_outputs.jpg | Bin 0 -> 132382 bytes FastSpeech/loss.py | 29 + FastSpeech/modules.py | 404 +++++++++++++ FastSpeech/optimizer.py | 44 ++ FastSpeech/preprocess.py | 61 ++ FastSpeech/results/0.wav | Bin 0 -> 93740 bytes FastSpeech/results/1.wav | Bin 0 -> 193068 bytes FastSpeech/results/2.wav | Bin 0 -> 419884 bytes FastSpeech/synthesis.py | 74 +++ FastSpeech/tacotron2/__init__.py | 3 + FastSpeech/tacotron2/hparams.py | 92 +++ FastSpeech/tacotron2/layers.py | 36 ++ FastSpeech/tacotron2/model.py | 533 ++++++++++++++++++ FastSpeech/tacotron2/utils.py | 29 + FastSpeech/text/__init__.py | 75 +++ FastSpeech/text/cleaners.py | 89 +++ FastSpeech/text/cmudict.py | 64 +++ FastSpeech/text/numbers.py | 71 +++ FastSpeech/text/symbols.py | 19 + FastSpeech/train.py | 194 +++++++ FastSpeech/transformer/Beam.py | 100 ++++ FastSpeech/transformer/Constants.py | 9 + FastSpeech/transformer/Layers.py | 230 ++++++++ FastSpeech/transformer/Models.py | 145 +++++ FastSpeech/transformer/Modules.py | 27 + FastSpeech/transformer/SubLayers.py | 97 ++++ FastSpeech/transformer/__init__.py | 6 + FastSpeech/utils.py | 183 ++++++ FastSpeech/waveglow/__init__.py | 3 + FastSpeech/waveglow/convert_model.py | 46 ++ FastSpeech/waveglow/glow.py | 310 ++++++++++ FastSpeech/waveglow/inference.py | 57 ++ FastSpeech/waveglow/mel2samp.py | 147 +++++ SqueezeWave/README.md | 129 +++++ ...SqueezeWave_computational_complexity.ipynb | 445 +++++++++++++++ SqueezeWave/TacotronSTFT.py | 80 +++ SqueezeWave/audio_processing.py | 93 +++ SqueezeWave/configs/config_a128_c128.json | 40 ++ SqueezeWave/configs/config_a128_c256.json | 40 ++ SqueezeWave/configs/config_a256_c128.json | 40 ++ SqueezeWave/configs/config_a256_c256.json | 40 ++ SqueezeWave/convert_model.py | 70 +++ SqueezeWave/denoiser.py | 39 ++ SqueezeWave/distributed.py | 191 +++++++ SqueezeWave/glow.py | 328 +++++++++++ SqueezeWave/inference.py | 87 +++ SqueezeWave/mel2samp.py | 150 +++++ SqueezeWave/requirements.txt | 8 + SqueezeWave/stft.py | 147 +++++ SqueezeWave/train.py | 203 +++++++ 66 files changed, 6421 insertions(+) create mode 100644 FastSpeech/.gitignore create mode 100644 FastSpeech/LICENSE create mode 100644 FastSpeech/README.md create mode 100644 FastSpeech/alignments.zip create mode 100644 FastSpeech/audio/__init__.py create mode 100644 FastSpeech/audio/audio_processing.py create mode 100644 FastSpeech/audio/hparams.py create mode 100644 FastSpeech/audio/stft.py create mode 100644 FastSpeech/audio/tools.py create mode 100644 FastSpeech/data/ljspeech.py create mode 100644 FastSpeech/dataset.py create mode 100644 FastSpeech/fastspeech.py create mode 100644 FastSpeech/glow.py create mode 100644 FastSpeech/hparams.py create mode 100644 FastSpeech/img/model.png create mode 100644 FastSpeech/img/model_test.jpg create mode 100644 FastSpeech/img/tacotron2_outputs.jpg create mode 100644 FastSpeech/loss.py create mode 100644 FastSpeech/modules.py create mode 100644 FastSpeech/optimizer.py create mode 100644 FastSpeech/preprocess.py create mode 100644 FastSpeech/results/0.wav create mode 100644 FastSpeech/results/1.wav create mode 100644 FastSpeech/results/2.wav create mode 100644 FastSpeech/synthesis.py create mode 100644 FastSpeech/tacotron2/__init__.py create mode 100644 FastSpeech/tacotron2/hparams.py create mode 100644 FastSpeech/tacotron2/layers.py create mode 100644 FastSpeech/tacotron2/model.py create mode 100644 FastSpeech/tacotron2/utils.py create mode 100644 FastSpeech/text/__init__.py create mode 100644 FastSpeech/text/cleaners.py create mode 100644 FastSpeech/text/cmudict.py create mode 100644 FastSpeech/text/numbers.py create mode 100644 FastSpeech/text/symbols.py create mode 100644 FastSpeech/train.py create mode 100644 FastSpeech/transformer/Beam.py create mode 100644 FastSpeech/transformer/Constants.py create mode 100644 FastSpeech/transformer/Layers.py create mode 100644 FastSpeech/transformer/Models.py create mode 100644 FastSpeech/transformer/Modules.py create mode 100644 FastSpeech/transformer/SubLayers.py create mode 100644 FastSpeech/transformer/__init__.py create mode 100644 FastSpeech/utils.py create mode 100644 FastSpeech/waveglow/__init__.py create mode 100644 FastSpeech/waveglow/convert_model.py create mode 100644 FastSpeech/waveglow/glow.py create mode 100644 FastSpeech/waveglow/inference.py create mode 100644 FastSpeech/waveglow/mel2samp.py create mode 100644 SqueezeWave/README.md create mode 100644 SqueezeWave/SqueezeWave_computational_complexity.ipynb create mode 100644 SqueezeWave/TacotronSTFT.py create mode 100644 SqueezeWave/audio_processing.py create mode 100644 SqueezeWave/configs/config_a128_c128.json create mode 100644 SqueezeWave/configs/config_a128_c256.json create mode 100644 SqueezeWave/configs/config_a256_c128.json create mode 100644 SqueezeWave/configs/config_a256_c256.json create mode 100644 SqueezeWave/convert_model.py create mode 100644 SqueezeWave/denoiser.py create mode 100644 SqueezeWave/distributed.py create mode 100644 SqueezeWave/glow.py create mode 100644 SqueezeWave/inference.py create mode 100644 SqueezeWave/mel2samp.py create mode 100644 SqueezeWave/requirements.txt create mode 100644 SqueezeWave/stft.py create mode 100644 SqueezeWave/train.py diff --git a/FastSpeech/.gitignore b/FastSpeech/.gitignore new file mode 100644 index 0000000..84f4c08 --- /dev/null +++ b/FastSpeech/.gitignore @@ -0,0 +1,114 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# pyenv +.python-version + +# celery beat schedule file +celerybeat-schedule + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ + +__pycache__ +.vscode +.DS_Store + + +data/train.txt +model_new/ +mels/ +alignments/ diff --git a/FastSpeech/LICENSE b/FastSpeech/LICENSE new file mode 100644 index 0000000..db81f11 --- /dev/null +++ b/FastSpeech/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2019 Zhengxi Liu + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/FastSpeech/README.md b/FastSpeech/README.md new file mode 100644 index 0000000..f35f742 --- /dev/null +++ b/FastSpeech/README.md @@ -0,0 +1,68 @@ +# FastSpeech-Pytorch +The Implementation of FastSpeech Based on Pytorch. + +## Update +### 2019/10/23 +1. Fix bugs in alignment; +2. Fix bugs in transformer; +3. Fix bugs in LengthRegulator; +4. Change the way to process audio; +5. Use waveglow to synthesize. + +## Model +
+ +
+ +## My Blog +- [FastSpeech Reading Notes](https://zhuanlan.zhihu.com/p/67325775) +- [Details and Rethinking of this Implementation](https://zhuanlan.zhihu.com/p/67939482) + +## Start +### Dependencies +- python 3.6 +- CUDA 10.0 +- pytorch==1.1.0 +- nump==1.16.2 +- scipy==1.2.1 +- librosa==0.6.3 +- inflect==2.1.0 +- matplotlib==2.2.2 + +### Prepare Dataset +1. Download and extract [LJSpeech dataset](https://keithito.com/LJ-Speech-Dataset/). +2. Put LJSpeech dataset in `data`. +3. Unzip `alignments.zip` \* +4. Put [Nvidia pretrained waveglow model](https://drive.google.com/file/d/1WsibBTsuRg_SF2Z6L6NFRTT-NjEy1oTx/view?usp=sharing) in the `waveglow/pretrained_model`; +5. Run `python preprocess.py`. + +*\* if you want to calculate alignment, don't unzip alignments.zip and put [Nvidia pretrained Tacotron2 model](https://drive.google.com/file/d/1c5ZTuT7J08wLUoVZ2KkUs_VdZuJ86ZqA/view?usp=sharing) in the `Tacotron2/pretrained_model`* + +## Training +Run `python train.py`. + +## Test +Run `python synthesis.py`. + +## Pretrained Model +- Baidu: [Step:112000](https://pan.baidu.com/s/1by3-8t3A6uihK8K9IFZ7rg) Enter Code: xpk7 +- OneDrive: [Step:112000](https://1drv.ms/u/s!AuC2oR4FhoZ29kriYhuodY4-gPsT?e=zUIC8G) + +## Notes +- In the paper of FastSpeech, authors use pre-trained Transformer-TTS to provide the target of alignment. I didn't have a well-trained Transformer-TTS model so I use Tacotron2 instead. +- The examples of audio are in `results`. +- The outputs and alignment of Tacotron2 are shown as follows (The sentence for synthesizing is "I want to go to CMU to do research on deep learning."): +
+ +
+ +- The outputs of FastSpeech and Tacotron2 (Right one is tacotron2) are shown as follows (The sentence for synthesizing is "Printing, in the only sense with which we are at present concerned, differs from most if not from all the arts and crafts represented in the Exhibition."): +
+ +
+ +## Reference +- [The Implementation of Tacotron Based on Tensorflow](https://github.com/keithito/tacotron) +- [The Implementation of Transformer Based on Pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch) +- [The Implementation of Transformer-TTS Based on Pytorch](https://github.com/xcmyz/Transformer-TTS) +- [The Implementation of Tacotron2 Based on Pytorch](https://github.com/NVIDIA/tacotron2) diff --git a/FastSpeech/alignments.zip b/FastSpeech/alignments.zip new file mode 100644 index 0000000000000000000000000000000000000000..e7c9723f932aa49c58573cf9d479f7734eb588c0 GIT binary patch literal 4161537 zcmbq*WmJ`I(>C4G-6fzPu<7nnT0)SL+DHh}jdUw1-JyttfCxx;ZAw8z8ex+H!lvuH zws_z2JP+TWSJ&Fh#lLfonRCu#j+wbMl#x-05fBhC5cJBl)C(%`VJE;}Q%DF1_`v_B zcGgz*Pb}?SoVmC;?VoyP-WSJ1l*Xr7o+6WGdp~}sm!FVQb3I%kHy)dnIdCdM;S}rH zSG9)T=W><_z3HAOP}{2VPMapf2P{%*OX%$%_2F~MWcVG>5i}le*`d+tr z`pLpzX%n@Q)OZQfgp%Kz)wLNI$J6j&C9ZQ}eak1eeP86@*#(&!A(UB{B0e`SMavoq 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