Merge pull request #824 from PaddlePaddle/egs_doc

more doc for egs

deepspeech/exps/u2/bin/train.py

@@ -18,11 +18,10 @@ import os
 from paddle import distributed as dist
 
 from deepspeech.exps.u2.config import get_cfg_defaults
-# from deepspeech.exps.u2.trainer import U2Trainer as Trainer
+from deepspeech.exps.u2.model import U2Trainer as Trainer
 from deepspeech.training.cli import default_argument_parser
 from deepspeech.utils.utility import print_arguments
-
-from deepspeech.exps.u2.model import U2Trainer as Trainer
+# from deepspeech.exps.u2.trainer import U2Trainer as Trainer
 
 
 def main_sp(config, args):

doc/src/benchmark.md

-# Benchmarks
-
-## Acceleration with Multi-GPUs
-
-We compare the training time with 1, 2, 4, 8 Tesla V100 GPUs (with a subset of LibriSpeech samples whose audio durations are between 6.0 and 7.0 seconds).  And it shows that a **near-linear** acceleration with multiple GPUs has been achieved. In the following figure, the time (in seconds) cost for training is printed on the blue bars.
-
-<img src="../images/multi_gpu_speedup.png" width=450>
-
-| # of GPU  | Acceleration Rate |
-| --------  | --------------:   |
-| 1         | 1.00 X |
-| 2         | 1.98 X |
-| 4         | 3.73 X |
-| 8         | 6.95 X |
-
-`utils/profile.sh` provides such a demo profiling tool, you can change it as need.

examples/cc-cedict/README.md

+# [CC-CEDICT](https://cc-cedict.org/wiki/)
+
+What is CC-CEDICT?
+CC-CEDICT is a continuation of the CEDICT project.
+The objective of the CEDICT project was to create an online, downloadable (as opposed to searchable-only) public-domain Chinese-English dictionary.
+CEDICT was started by Paul Andrew Denisowski in October 1997.
+For the most part, the project is modeled on Jim Breen's highly successful EDICT (Japanese-English dictionary) project and is intended to be a collaborative effort,
+with users providing entries and corrections to the main file.
+
+
+## Parse CC-CEDICT to Json format
+
+1. Parse to Json
+
+```
+run.sh
+```
+
+2. Result
+
+```
+exp/
+|-- cedict
+`-- cedict.json
+
+0 directories, 2 files
+```
+
+```
+4c4bffc84e24467fe1b2ea9ba37ed6b6  exp/cedict
+3adf504dacd13886f88cc9fe3b37c75d  exp/cedict.json
+```
+
+```
+==> exp/cedict <==
+# CC-CEDICT
+# Community maintained free Chinese-English dictionary.
+#
+# Published by MDBG
+#
+# License:
+# Creative Commons Attribution-ShareAlike 4.0 International License
+# https://creativecommons.org/licenses/by-sa/4.0/
+#
+# Referenced works:
+
+==> exp/cedict.json <==
+{"traditional": "2019\u51a0\u72c0\u75c5\u6bd2\u75c5", "simplified": "2019\u51a0\u72b6\u75c5\u6bd2\u75c5", "pinyin": "er4 ling2 yi1 jiu3 guan1 zhuang4 bing4 du2 bing4", "english": "COVID-19, the coronavirus disease identified in 2019"}
+{"traditional": "21\u4e09\u9ad4\u7d9c\u5408\u75c7", "simplified": "21\u4e09\u4f53\u7efc\u5408\u75c7", "pinyin": "er4 shi2 yi1 san1 ti3 zong1 he2 zheng4", "english": "trisomy"}
+{"traditional": "3C", "simplified": "3C", "pinyin": "san1 C", "english": "abbr. for computers, communications, and consumer electronics"}
+{"traditional": "3P", "simplified": "3P", "pinyin": "san1 P", "english": "(slang) threesome"}
+{"traditional": "3Q", "simplified": "3Q", "pinyin": "san1 Q", "english": "(Internet slang) thank you (loanword)"}
+{"traditional": "421", "simplified": "421", "pinyin": "si4 er4 yi1", "english": "four grandparents, two parents and an only child"}
+{"traditional": "502\u81a0", "simplified": "502\u80f6", "pinyin": "wu3 ling2 er4 jiao1", "english": "cyanoacrylate glue"}
+{"traditional": "88", "simplified": "88", "pinyin": "ba1 ba1", "english": "(Internet slang) bye-bye (alternative for \u62dc\u62dc[bai2 bai2])"}
+{"traditional": "996", "simplified": "996", "pinyin": "jiu3 jiu3 liu4", "english": "9am-9pm, six days a week (work schedule)"}
+{"traditional": "A", "simplified": "A", "pinyin": "A", "english": "(slang) (Tw) to steal"}
+```

examples/chinese_g2p/README.md

-# Download Baker dataset
-
-Baker dataset has to be downloaded mannually and moved to 'data/', because you will have to pass the CATTCHA from a browswe to download the dataset.
-
-Download URL https://test.data-baker.com/#/data/index/source.

examples/g2p/README.md

+# G2P
+
+* zh - Chinese G2P

examples/g2p/zh/README.md

+# G2P
+
+* WS
+jieba
+* G2P
+pypinyin
+* Tone sandhi
+simple
+
+We recommend using [Paraket](https://github.com/PaddlePaddle/Parakeet] [TextFrontEnd](https://github.com/PaddlePaddle/Parakeet/blob/develop/parakeet/frontend/__init__.py) to do G2P.
+The phoneme set should be changed, you can reference `examples/thchs30/a0/data/dict/syllable.lexicon`.
+
+## Download Baker dataset
+
+[Baker](https://test.data-baker.com/#/data/index/source) dataset has to be downloaded mannually and moved to './data',
+because you will have to pass the `CATTCHA` from a browswe to download the dataset.
+
+
+## RUN
+
+```
+. path.sh
+./run.sh
+```
+
+## Result
+
+```
+exp/
+|-- 000001-010000.txt
+|-- ref.pinyin
+|-- trans.jieba.pinyin
+`-- trans.pinyin
+
+0 directories, 4 files
+```
+
+```
+4f5a368441eb16aaf43dc1972f8b63dd  exp/000001-010000.txt
+01707896391c2de9b6fc4a39654be942  exp/ref.pinyin
+43380ef160f65a23a3a0544700aa49b8  exp/trans.jieba.pinyin
+8e6ff1fc22d8e8584082e804e8bcdeb7  exp/trans.pinyin
+```
+
+```
+==> exp/000001-010000.txt <==
+000001  卡尔普#2陪外孙#1玩滑梯#4。
+        ka2 er2 pu3 pei2 wai4 sun1 wan2 hua2 ti1
+000002  假语村言#2别再#1拥抱我#4。
+        jia2 yu3 cun1 yan2 bie2 zai4 yong1 bao4 wo3
+000003  宝马#1配挂#1跛骡鞍#3，貂蝉#1怨枕#2董翁榻#4。
+        bao2 ma3 pei4 gua4 bo3 luo2 an1 diao1 chan2 yuan4 zhen3 dong3 weng1 ta4
+000004  邓小平#2与#1撒切尔#2会晤#4。
+        deng4 xiao3 ping2 yu3 sa4 qie4 er3 hui4 wu4
+000005  老虎#1幼崽#2与#1宠物犬#1玩耍#4。
+        lao2 hu3 you4 zai3 yu2 chong3 wu4 quan3 wan2 shua3
+
+==> exp/ref.pinyin <==
+000001 ka2 er2 pu3 pei2 wai4 sun1 wan2 hua2 ti1
+000002 jia2 yu3 cun1 yan2 bie2 zai4 yong1 bao4 wo3
+000003 bao2 ma3 pei4 gua4 bo3 luo2 an1 diao1 chan2 yuan4 zhen3 dong3 weng1 ta4
+000004 deng4 xiao3 ping2 yu3 sa4 qie4 er3 hui4 wu4
+000005 lao2 hu3 you4 zai3 yu2 chong3 wu4 quan3 wan2 shua3
+000006 shen1 chang2 yue1 wu2 chi3 er4 cun4 wu3 fen1 huo4 yi3 shang4
+000007 zhao4 di2 yue1 cao2 yun2 teng2 qu4 gui3 wu1
+000008 zhan2 pin3 sui1 you3 zhan3 yuan2 que4 tui2
+000009 yi2 san3 ju1 er2 tong2 he2 you4 tuo1 er2 tong2 wei2 zhu3
+000010 ke1 te4 ni1 shen1 chuan1 bao4 wen2 da4 yi1
+
+==> exp/trans.jieba.pinyin <==
+000001 ka3 er3 pu3 pei2 wai4 sun1 wan2 hua2 ti1
+000002 jia3 yu3 cun1 yan2 bie2 zai4 yong1 bao4 wo3
+000003 bao3 ma3 pei4 gua4 bo3 luo2 an1 diao1 chan2 yuan4 zhen3 dong3 weng1 ta4
+000004 deng4 xiao3 ping2 yu3 sa1 qie4 er3 hui4 wu4
+000005 lao3 hu3 you4 zai3 yu3 chong3 wu4 quan3 wan2 shua3
+000006 shen1 chang2 yue1 wu3 chi3 er4 cun4 wu3 fen1 huo4 yi3 shang4
+000007 zhao4 di2 yue1 cao2 yun2 teng2 qu4 gui3 wu1
+000008 zhan3 pin3 sui1 you3 zhan3 yuan2 que4 tui2
+000009 yi3 san3 ju1 er2 tong2 he2 you4 tuo1 er2 tong2 wei2 zhu3
+000010 ke1 te4 ni1 shen1 chuan1 bao4 wen2 da4 yi1
+
+==> exp/trans.pinyin <==
+000001 ka3 er3 pu3 pei2 wai4 sun1 wan2 hua2 ti1
+000002 jia3 yu3 cun1 yan2 bie2 zai4 yong1 bao4 wo3
+000003 bao3 ma3 pei4 gua4 bo3 luo2 an1 diao1 chan2 yuan4 zhen3 dong3 weng1 ta4
+000004 deng4 xiao3 ping2 yu3 sa1 qie4 er3 hui4 wu4
+000005 lao3 hu3 you4 zai3 yu3 chong3 wu4 quan3 wan2 shua3
+000006 shen1 chang2 yue1 wu3 chi3 er4 cun4 wu3 fen1 huo4 yi3 shang4
+000007 zhao4 di2 yue1 cao2 yun2 teng2 qu4 gui3 wu1
+000008 zhan3 pin3 sui1 you3 zhan3 yuan2 que4 tui2
+000009 yi3 san3 ju1 er2 tong2 he2 you4 tuo1 er2 tong2 wei2 zhu3
+000010 ke1 te4 ni1 shen1 chuan1 bao4 wen2 da4 yi1
+```

examples/chinese_g2p/path.sh → examples/g2p/zh/path.sh

-export MAIN_ROOT=`realpath ${PWD}/../../`
+export MAIN_ROOT=`realpath ${PWD}/../../../`
 
 export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH}
 export LC_ALL=C

examples/chinese_g2p/run.sh → examples/g2p/zh/run.sh

@@ -6,16 +6,19 @@ stage=-1
 stop_stage=100
 
 exp_dir=exp
-data_dir=data
+data=data
 
 source ${MAIN_ROOT}/utils/parse_options.sh || exit -1
 
 mkdir -p ${exp_dir}
 
+if [ $stage -le -1 ] && [ $stop_stage -ge -1 ];then
+    test -e ${data}/BZNSYP.rar || { echo "Please download BZNSYP.rar and put it in ${data}; exit -1; }
+fi
 
 if [ $stage -le 0 ] && [ $stop_stage -ge 0 ];then
     echo "stage 0: Extracting Prosody Labeling"
-    bash local/prepare_dataset.sh --exp-dir ${exp_dir} --data-dir ${data_dir}
+    bash local/prepare_dataset.sh --exp-dir ${exp_dir} --data-dir ${data}
 fi
 
 # convert transcription in chinese into pinyin with pypinyin or jieba+pypinyin

examples/ngram_lm/READEME.md

+# Ngram LM
+
+* s0 - kenlm ngram lm

examples/ngram_lm/s0/.gitignore

+data/lm

examples/ngram_lm/s0/README.md

@@ -2,6 +2,95 @@
 
 Train chinese chararctor ngram lm by [kenlm](https://github.com/kpu/kenlm).
 
+## Run
 ```
+. path.sh
 bash run.sh
 ```
+
+## Results
+
+```
+exp/
+|-- text
+|-- text.char.tn
+|-- text.word.tn
+|-- text_zh_char_o5_p0_1_2_4_4_a22_q8_b8.arpa
+|-- text_zh_char_o5_p0_1_2_4_4_a22_q8_b8.arpa.klm.bin
+|-- text_zh_word_o3_p0_0_0_a22_q8_b8.arpa
+`-- text_zh_word_o3_p0_0_0_a22_q8_b8.arpa.klm.bin
+
+0 directories, 7 files
+```
+
+```
+3ae083627b9b6cef1a82d574d8483f97  exp/text
+d97da252d2a63a662af22f98af30cb8c  exp/text.char.tn
+c18b03005bd094dbfd9b46442be361fd  exp/text.word.tn
+73dbf50097896eda33985e11e1ba9a3a  exp/text_zh_char_o5_p0_1_2_4_4_a22_q8_b8.arpa
+01334e2044c474b99c4f2ffbed790626  exp/text_zh_char_o5_p0_1_2_4_4_a22_q8_b8.arpa.klm.bin
+36a42de548045b54662411ae7982c77f  exp/text_zh_word_o3_p0_0_0_a22_q8_b8.arpa
+332422803ffd73dd7ffd16cd2b0abcd5  exp/text_zh_word_o3_p0_0_0_a22_q8_b8.arpa.klm.bin
+```
+
+```
+==> exp/text <==
+少先队员因该为老人让坐
+祛痘印可以吗？有效果吗？
+不知这款牛奶口感怎样？ 小孩子喝行吗！
+是转基因油?
+我家宝宝13斤用多大码的
+会起坨吗？
+请问给送上楼吗？
+亲是送赁上门吗
+送货时候有外包装没有还是直接发货过来
+会不会有坏的？
+
+==> exp/text.char.tn <==
+少 先 队 员 因 该 为 老 人 让 坐
+祛 痘 印 可 以 吗 有 效 果 吗
+不 知 这 款 牛 奶 口 感 怎 样 小 孩 子 喝 行 吗
+是 转 基 因 油
+我 家 宝 宝 十 三 斤 用 多 大 码 的
+会 起 坨 吗
+请 问 给 送 上 楼 吗
+亲 是 送 赁 上 门 吗
+送 货 时 候 有 外 包 装 没 有 还 是 直 接 发 货 过 来
+会 不 会 有 坏 的
+
+==> exp/text.word.tn <==
+少先队员 因该 为 老人 让 坐
+祛痘 印 可以 吗 有 效果 吗
+不知 这 款 牛奶 口感 怎样 小孩子 喝行 吗
+是 转基因 油
+我家 宝宝 十三斤 用多大码 的
+会起 坨 吗
+请问 给 送 上楼 吗
+亲是 送赁 上门 吗
+送货 时候 有 外包装 没有 还是 直接 发货 过来
+会 不会 有坏 的
+
+==> exp/text_zh_char_o5_p0_1_2_4_4_a22_q8_b8.arpa <==
+\data\
+ngram 1=587
+ngram 2=395
+ngram 3=100
+ngram 4=2
+ngram 5=0
+
+\1-grams:
+-3.272324       <unk>   0
+0       <s>     -0.36706257
+
+==> exp/text_zh_word_o3_p0_0_0_a22_q8_b8.arpa <==
+\data\
+ngram 1=689
+ngram 2=1398
+ngram 3=1506
+
+\1-grams:
+-3.1755018      <unk>   0
+0       <s>     -0.23069073
+-1.2318869      </s>    0
+-3.067262       少先队员        -0.051341705
+```

examples/spm/README.md

 # [SentencePiece Model](https://github.com/google/sentencepiece)
 
+## Run
 Train a `spm` model for English tokenizer.
 
 ```
+. path.sh
 bash run.sh
 ```
+
+## Results
+
+```
+data/
+└── lang_char
+    ├── input.bpe
+    ├── input.decode
+    ├── input.txt
+    ├── train_unigram100.model
+    ├── train_unigram100_units.txt
+    └── train_unigram100.vocab
+
+1 directory, 6 files
+```
+
+```
+b5a230c26c61db5c36f34e503102f936  data/lang_char/input.bpe
+ec5a9b24acc35469229e41256ceaf77d  data/lang_char/input.decode
+ec5a9b24acc35469229e41256ceaf77d  data/lang_char/input.txt
+124bf3fe7ce3b73b1994234c15268577  data/lang_char/train_unigram100.model
+0df2488cc8eaace95eb12713facb5cf0  data/lang_char/train_unigram100_units.txt
+46360cac35c751310e8e8ffd3a034cb5  data/lang_char/train_unigram100.vocab
+```
+
+```
+==> data/lang_char/input.bpe <==
+▁mi ster ▁quilter ▁ is ▁the ▁a p ost le ▁o f ▁the ▁mi d d le ▁c las s es ▁ and ▁we ▁ar e ▁g l a d ▁ to ▁we l c om e ▁h is ▁g o s pe l
+▁ n or ▁ is ▁mi ster ▁quilter ' s ▁ma nne r ▁ l ess ▁in ter es t ing ▁tha n ▁h is ▁ma t ter
+▁h e ▁ t e ll s ▁us ▁tha t ▁ at ▁ t h is ▁f es t ive ▁ s e ason ▁o f ▁the ▁ y e ar ▁w ith ▁ ch r is t m a s ▁ and ▁ro a s t ▁be e f ▁ l o om ing ▁be fore ▁us ▁ s i mile s ▁d r a w n ▁f r om ▁ e at ing ▁ and ▁it s ▁re s u l t s ▁o c c ur ▁m ost ▁re a di l y ▁ to ▁the ▁ mind
+▁h e ▁ ha s ▁g r a v e ▁d o u b t s ▁w h e t h er ▁ s i r ▁f r e d er ic k ▁ l eig h to n ' s ▁w or k ▁ is ▁re all y ▁gre e k ▁a f ter ▁ all ▁ and ▁c a n ▁di s c o v er ▁in ▁it ▁b u t ▁li t t le ▁o f ▁ro ck y ▁it ha c a
+▁li nne ll ' s ▁ p ic tur es ▁ar e ▁a ▁ s or t ▁o f ▁ u p ▁g u ar d s ▁ and ▁ at ▁ em ▁painting s ▁ and ▁m ason ' s ▁ e x q u is i t e ▁ i d y ll s ▁ar e ▁a s ▁ n at ion a l ▁a s ▁a ▁ j ing o ▁ p o em ▁mi ster ▁b i r k e t ▁f o ster ' s ▁ l and s c a pe s ▁ s mile ▁ at ▁on e ▁m u ch ▁in ▁the ▁ s a m e ▁w a y ▁tha t ▁mi ster ▁c ar k er ▁us e d ▁ to ▁f las h ▁h is ▁ t e e t h ▁ and ▁mi ster ▁ j o h n ▁c o ll i er ▁g ive s ▁h is ▁ s i t ter ▁a ▁ ch e er f u l ▁ s l a p ▁on ▁the ▁b a ck ▁be fore ▁h
+e ▁ s a y s ▁li k e ▁a ▁ s ha m p o o er ▁in ▁a ▁ tur k is h ▁b at h ▁ n e x t ▁ma n
+▁it ▁ is ▁o b v i o u s l y ▁ u nne c ess ar y ▁for ▁us ▁ to ▁ p o i n t ▁o u t ▁h o w ▁ l u m i n o u s ▁the s e ▁c rit ic is m s ▁ar e ▁h o w ▁d e l ic at e ▁in ▁ e x p r ess ion
+▁on ▁the ▁g e n er a l ▁ p r i n c i p l es ▁o f ▁ar t ▁mi ster ▁quilter ▁w rit es ▁w ith ▁ e qual ▁ l u c i di t y
+▁painting ▁h e ▁ t e ll s ▁us ▁ is ▁o f ▁a ▁di f f er e n t ▁ qual i t y ▁ to ▁ma t h em at ic s ▁ and ▁f i nish ▁in ▁ar t ▁ is ▁a d d ing ▁m or e ▁f a c t
+▁a s ▁for ▁ e t ch ing s ▁the y ▁ar e ▁o f ▁ t w o ▁ k i n d s ▁b rit is h ▁ and ▁for eig n
+▁h e ▁ l a ment s ▁m ost ▁b i t ter l y ▁the ▁di v or c e ▁tha t ▁ ha s ▁be e n ▁ma d e ▁be t w e e n ▁d e c or at ive ▁ar t ▁ and ▁w ha t ▁we ▁us u all y ▁c all ▁ p ic tur es ▁ma k es ▁the ▁c u s t om ar y ▁a p pe a l ▁ to ▁the ▁ las t ▁ j u d g ment ▁ and ▁re mind s ▁us ▁tha t ▁in ▁the ▁gre at ▁d a y s ▁o f ▁ar t ▁mi c ha e l ▁a n g e l o ▁w a s ▁the ▁f ur nish ing ▁ u p h o l ster er
+
+==> data/lang_char/input.decode <==
+mister quilter is the apostle of the middle classes and we are glad to welcome his gospel
+nor is mister quilter's manner less interesting than his matter
+he tells us that at this festive season of the year with christmas and roast beef looming before us similes drawn from eating and its results occur most readily to the mind
+he has grave doubts whether sir frederick leighton's work is really greek after all and can discover in it but little of rocky ithaca
+linnell's pictures are a sort of up guards and at em paintings and mason's exquisite idylls are as national as a jingo poem mister birket foster's landscapes smile at one much in the same way that mister carker used to flash his teeth and mister john collier gives his sitter a cheerful slap on the back before he says like a shampooer in a turkish bath next man
+it is obviously unnecessary for us to point out how luminous these criticisms are how delicate in expression
+on the general principles of art mister quilter writes with equal lucidity
+painting he tells us is of a different quality to mathematics and finish in art is adding more fact
+as for etchings they are of two kinds british and foreign
+he laments most bitterly the divorce that has been made between decorative art and what we usually call pictures makes the customary appeal to the last judgment and reminds us that in the great days of art michael angelo was the furnishing upholsterer
+
+==> data/lang_char/input.txt <==
+mister quilter is the apostle of the middle classes and we are glad to welcome his gospel
+nor is mister quilter's manner less interesting than his matter
+he tells us that at this festive season of the year with christmas and roast beef looming before us similes drawn from eating and its results occur most readily to the mind
+he has grave doubts whether sir frederick leighton's work is really greek after all and can discover in it but little of rocky ithaca
+linnell's pictures are a sort of up guards and at em paintings and mason's exquisite idylls are as national as a jingo poem mister birket foster's landscapes smile at one much in the same way that mister carker used to flash his teeth and mister john collier gives his sitter a cheerful slap on the back before he says like a shampooer in a turkish bath next man
+it is obviously unnecessary for us to point out how luminous these criticisms are how delicate in expression
+on the general principles of art mister quilter writes with equal lucidity
+painting he tells us is of a different quality to mathematics and finish in art is adding more fact
+as for etchings they are of two kinds british and foreign
+he laments most bitterly the divorce that has been made between decorative art and what we usually call pictures makes the customary appeal to the last judgment and reminds us that in the great days of art michael angelo was the furnishing upholsterer
+
+==> data/lang_char/train_unigram100_units.txt <==
+<blank> 0
+<unk> 1
+' 2
+a 3
+all 4
+and 5
+ar 6
+ason 7
+at 8
+b 9
+
+==> data/lang_char/train_unigram100.vocab <==
+<unk>   0
+<s>     0
+</s>    0
+▁       -2.01742
+e       -2.7203
+s       -2.82989
+t       -2.99689
+l       -3.53267
+n       -3.84935
+o       -3.88229
+```

examples/text_normalization/README.md

-# Regular expression based text normalization for Chinese
-
-For simplicity and ease of implementation, text normalization is basically done by rules and dictionaries. Here's an example.

examples/tn/.gitignore

+exp

examples/tn/README.md

+# Regular expression based text normalization for Chinese
+
+For simplicity and ease of implementation, text normalization is basically done by rules and dictionaries. Here's an example.
+
+## Run
+
+```
+. path.sh
+bash run.sh
+```
+
+## Results
+
+```
+exp/
+`-- normalized.txt
+
+0 directories, 1 file
+```
+
+```
+aff31f8aa08e2a7360228c9ce5886b98  exp/normalized.txt
+```
+
+```
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