Hui Zhang
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# chinese syllable
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## Syllable
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* [List of Syllables in Pinyin](https://resources.allsetlearning.com/chinese/pronunciation/syllable)
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The word syllable is a term referring to the units of a word, composed on an (optional) initial, a final, and a tone.
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The word "syllable" is 音节 (yīnjié) in Chinese.
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Most spoken syllables in Mandarin Chinese correspond to one written Chinese character.
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There are a total of 410 common pinyin syllables.
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* [Rare syllable](https://resources.allsetlearning.com/chinese/pronunciation/Rare_syllable)
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* [Chinese Pronunciation: The Complete Guide for Beginner](https://www.digmandarin.com/chinese-pronunciation-guide.html)
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* [Mandarin Chinese Phonetics](http://www.zein.se/patrick/chinen8p.html)
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* [chinese phonetics](https://www.easymandarin.cn/online-chinese-lessons/chinese-phonetics/)
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Chinese Characters, called “Hanzi”, are the writing symbols of the Chinese language.
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Pinyin is the Romanization of a phonetic notation for Chinese Characters.
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Each syllable is composed of three parts: initials, finals, and tones.
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In the Pinyin system there are 23 initials, 24 finals, 4 tones and a neutral tone.
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## Pinyin
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* [Pinyin](https://en.wikipedia.org/wiki/Pinyin)
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* [Pinyin quick start guide](https://resources.allsetlearning.com/chinese/pronunciation/Pinyin_quick_start_guide)
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* [Pinyin Table](https://en.wikipedia.org/wiki/Pinyin_table)
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* [Piyin Chat](https://resources.allsetlearning.com/chinese/pronunciation/Pinyin_chart)
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* [Mandarin Chinese Pinyin Table](https://www.archchinese.com/chinese_pinyin.html)
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* [Chinese Pinyin Table ](http://www.quickmandarin.com/chinesepinyintable/)
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## Tones
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* [Four tones](https://resources.allsetlearning.com/chinese/pronunciation/Four_tones)
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* [Neutral tone](https://resources.allsetlearning.com/chinese/pronunciation/Neutral_tone)
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* [Where do the tone marks go?](http://www.pinyin.info/rules/where.html)
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* [声调符号标在哪儿？](http://www.hwjyw.com/resource/content/2010/06/04/8183.shtml)
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## Zhuyin
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* [Bopomofo](https://en.wikipedia.org/wiki/Bopomofo)
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* [Zhuyin table](https://en.wikipedia.org/wiki/Zhuyin_table)
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## Tone sandhi
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* https://zh.wikipedia.org/wiki/%E8%AE%8A%E8%AA%BF
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* https://github.com/mozillazg/python-pinyin/issues/133
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pypinyin关于变调错误的评估
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## tools
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* https://github.com/KuangDD/phkit
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* https://github.com/mozillazg/python-pinyin
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* https://github.com/Kyubyong/g2pC
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* https://github.com/kakaobrain/g2pM
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# CRF([Conditional Random Fields](http://blog.echen.me/2012/01/03/introduction-to-conditional-random-fields/))
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## Repos
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* https://github.com/kmkurn/pytorch-crf
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* https://github.com/allenai/allennlp
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* https://github.com/mtreviso/linear-chain-crf
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## Reference
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* [Overview of Conditional Random Fields](https://medium.com/ml2vec/overview-of-conditional-random-fields-68a2a20fa541)
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* [Introduction to Conditional Random Fields](http://blog.echen.me/2012/01/03/introduction-to-conditional-random-fields/)]
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* [Viterbi algorithm](https://en.wikipedia.org/wiki/Viterbi_algorithm)
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* [Conditional Random Field Tutorial in PyTorch](https://towardsdatascience.com/conditional-random-field-tutorial-in-pytorch-ca0d04499463)
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* [Implementing a linear-chain Conditional Random Field (CRF) in PyTorch](https://towardsdatascience.com/implementing-a-linear-chain-conditional-random-field-crf-in-pytorch-16b0b9c4b4ea)
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* .https://homepages.inf.ed.ac.uk/csutton/publications/crftutv2.pdf
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* [Implementing a linear-chain Conditional Random Field (CRF) in PyTorch](https://towardsdatascience.com/implementing-a-linear-chain-conditional-random-field-crf-in-pytorch-16b0b9c4b4ea)
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* http://www.cs.columbia.edu/~mcollins/
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* [Tagging Problems, and Hidden Markov Models](http://www.cs.columbia.edu/~mcollins/hmms-spring2013.pdf)
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* http://www.cs.columbia.edu/~mcollins/crf.pdf
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* [The Forward-Backward Algorithm](http://www.cs.columbia.edu/~mcollins/fb.pdf)
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* [The Naive Bayes Model, Maximum-Likelihood Estimation, and the EM Algorithm](http://www.cs.columbia.edu/~mcollins/em.pdf)
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# Dataset
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## Text
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* [Tatoeba](https://tatoeba.org/cmn)
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**Tatoeba is a collection of sentences and translations.** It's collaborative, open, free and even addictive. An open data initiative aimed at translation and speech recognition.
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## Speech
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* [Tatoeba](https://tatoeba.org/cmn)
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**Tatoeba is a collection of sentences and translations.** It's collaborative, open, free and even addictive. An open data initiative aimed at translation and speech recognition.
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### ASR Noise
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* [asr-noises](https://github.com/speechio/asr-noises)
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# Decoding
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## Reference
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* [时间戳和N-Best](https://mp.weixin.qq.com/s?__biz=MzU2NjUwMTgxOQ==&mid=2247483956&idx=1&sn=80ce595238d84155d50f08c0d52267d3&chksm=fcaacae0cbdd43f62b1da60c8e8671a9e0bb2aeee94f58751839b03a1c45b9a3889b96705080&scene=21#wechat_redirect)
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* [Viterbi algorithm](https://en.wikipedia.org/wiki/Viterbi_algorithm)
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* [如何通俗地讲解 viterbi 算法](https://www.zhihu.com/question/20136144)
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# 线性代数
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* https://www.3blue1brown.com/
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* https://www.zhihu.com/column/c_1068883024023834624
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### 矩阵分解
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* [LU分解](https://zhuanlan.zhihu.com/p/54943042)
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* [QR分解](https://zhuanlan.zhihu.com/p/54957185)
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* SVD分解
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* PCA分解
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* NMF分解
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# Useful Tools
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* [正则可视化和常用正则表达式](https://wangwl.net/static/projects/visualRegex/#)
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