- rooted device
- magisk and busybox module
pkg install tsu pulseaudio su mkdir /data/local/tmp/chrootarch cd /data/local/tmp/chrootarch tar xzvf ArchLinuxARM-aarch64-latest.tar.gz --numeric-owner mkdir sdcard
diggerdu
/ ArchTermuxChrootInstall.md
Last active
July 24, 2023 08:30
Install ArchArm in rooted Android device with Termux and chroot
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diggerdu
/ # open-mpi - 2020-05-05_17-06-03.txt
Created
May 5, 2020 09:10
open-mpi on Debian GNU/Linux 8.9 (jessie) - Homebrew build logs
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| Homebrew build logs for open-mpi on Debian GNU/Linux 8.9 (jessie) | |
| Build date: 2020-05-05 17:06:03 |
diggerdu
/ pseudo_cqt_pytorch.py
Created
August 9, 2019 07:33
— forked from keunwoochoi/pseudo_cqt_pytorch.py
To compute pseudo CQT (Constant-Q-transform using STFT) on Pytorch.
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| cqt_filter_fft = librosa.constantq.__cqt_filter_fft | |
| class PseudoCqt(): | |
| """A class to compute pseudo-CQT with Pytorch. | |
| Written by Keunwoo Choi | |
| API (+implementations) follows librosa (https://librosa.github.io/librosa/generated/librosa.core.pseudo_cqt.html) | |
| Usage: | |
| src, _ = librosa.load(filename) | |
| src_tensor = torch.tensor(src) |
- Aaron van den Oord, Sander Dieleman, Heiga Zen, et al, "WaveNet: A Generative Model for Raw Audio", arXiv:1609.03499, Sep 2016.
- Aaron van den Oord, Yazhe Li, Igor Babuschkin, et al, "Parallel WaveNet: Fast High-Fidelity Speech Synthesis", arXiv:1711.10433, Nov 2017.
- Tamamori, Akira, et al. "Speaker-dependent WaveNet vocoder." Proceedings of Interspeech. 2017.
- Jonathan Shen, Ruoming Pang, Ron J. Weiss, et al, "Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions", arXiv:1712.05884, Dec 2017.
- Wei Ping, Kainan Peng, Andrew Gibiansky, et al, "Deep Voice 3: 2000-Speaker Neural Text-to-Speech", arXiv:1710.07654, Oct. 2017.
- [Tom Le Paine, Pooya Khorrami, Shiyu Chang, et al, "Fast Wavenet Generation Algorithm", arXiv:1611.09482, Nov. 2016](https://arxiv.org/abs/1611.094
diggerdu
/ gist:cc42b6584f29e4aab83556867b7ac97b
Created
November 13, 2018 05:30
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| ### 唇语 | |
| #### 经过标注人员挑选过正面清晰 唇部完整的小图 | |
| /raid/data1/corpus/annotated/wellDone | |
| #### 原始视频文件 | |
| /raid/data1/corpus/video | |
| /raid/data1/LipReadProject/oriVideo | |
| ### 音频 | |
| #### 原始音频文件 420560条 | |
| /raid/data1/corpus/audio/corpus_audio.tar | |
| /raid/data1/LipReadProject/oriAudio |
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| from trueskill import Rating, rate_1vs1 | |
| import sounddevice as sd | |
| ## Microsoft TrueSkill System | |
| # [Ref](https://en.wikipedia.org/wiki/TrueSkill) | |
| # [Package](http://trueskill.org/) | |
| model_list = ['basic_rnn_emb_rate_0.5', 'lookback_rnn_emb_rate_0.5', 'attention_rnn_emb_rate_0.5', .........] |
diggerdu
/ music_generation_note.md
Last active
August 31, 2018 17:20
- perplexity:Melody RNN 代码里perplexity作为训练指标有实现
- Key consistency,生成旋律属于同一个调(C,B,D,E)的概率 A Classifying Variational Autoencoder with Application to Polyphonic Music Generation
- P_{dia} 等价于Key consistency
- P_{spi} 相邻两音符跨度不超过一个八度(short pitch interval)的概率
- P_{tri} 三和弦(triad)出现的概率 以上三种指标来自于Composing Music with Grammar Argumented Neural Networks and Note-Level Encoding
- 主观打分 MIDINET: A CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORK FOR SYMBOLIC-DOMAIN MUSIC GENERATION; DeepBach: a Steerable Model for Bach Chorales Generation
diggerdu
/ client.py
Last active
August 7, 2018 08:58
— forked from yoavram/client.py
Example of uploading binary files programmatically in python, including both client and server code.Client implemented with the requests library and the server is implemented with the flask library.
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| import requests | |
| #http://docs.python-requests.org/en/latest/user/quickstart/#post-a-multipart-encoded-file | |
| url = "http://localhost:5000/" | |
| fin = open('simple_table.pdf', 'rb') | |
| files = {'file': fin} | |
| try: | |
| r = requests.post(url, files=files) | |
| print r.text |
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| [ | |
| { | |
| "domain": ".grammarly.com", | |
| "expirationDate": 1587434763, | |
| "hostOnly": false, | |
| "httpOnly": false, | |
| "name": "_ga", | |
| "path": "/", | |
| "sameSite": "no_restriction", | |
| "secure": false, |
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