kaldi的TIMIT实例一
TIMIT语音库是IT和MIT合作音素级别标注的语音库，用于自动语音识别系统的发展和评估，包括来自美式英语，8个地区方言，630个人。
每个人读10个句子，每个发音都是音素级别、词级别文本标注，16kHz,16bit。
注意：不用使用TIMIT配置作为运行Kaldi的一个通用型例子，因为它不是一个非常标准的结构。
其它的一些配置也是非常好用的。
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
librispeech/s5是非常好的，因为它是免费的。
yesno是非常轻量级、快速运行，而且也是免费的。
wsj/s5有一个不普遍的例子脚本，这些脚本可能让人感到疑惑的。
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
s5: 单音素、3音素 GMM/HMM系统，用ML训练。接着是SGMM和DNN配置。
基于48个音素完成训练，《Speaker-Independent Phone Recognition Using Hidden Markov Models》。
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
执行，修改run.sh里面的timit语音库路径，修改cmd.sh运行的脚本，queue.pl改成本地跑的run.pl，下载安装tools/extra/install_srilm.sh，拷贝irstlm文件夹
到tools目录下，最后运行run.sh.
运行完成后，屏幕打印的内容如下：
============================================================================
Data & Lexicon & Language Preparation 数据、词典、语言准备
============================================================================
wav-to-duration --read-entire-file=true scp:train_wav.scp ark,t:train_dur.ark
LOG (wav-to-duration[5.2.124~1396-70748]:main():wav-to-duration.cc:92) Printed duration for 3696 audio files.
LOG (wav-to-duration[5.2.124~1396-70748]:main():wav-to-duration.cc:94) Mean duration was 3.06336, min and max durations were 0.91525, 7.78881
wav-to-duration --read-entire-file=true scp:dev_wav.scp ark,t:dev_dur.ark
LOG (wav-to-duration[5.2.124~1396-70748]:main():wav-to-duration.cc:92) Printed duration for 400 audio files.
LOG (wav-to-duration[5.2.124~1396-70748]:main():wav-to-duration.cc:94) Mean duration was 3.08212, min and max durations were 1.09444, 7.43681
wav-to-duration --read-entire-file=true scp:test_wav.scp ark,t:test_dur.ark
LOG (wav-to-duration[5.2.124~1396-70748]:main():wav-to-duration.cc:92) Printed duration for 192 audio files.
LOG (wav-to-duration[5.2.124~1396-70748]:main():wav-to-duration.cc:94) Mean duration was 3.03646, min and max durations were 1.30562, 6.21444
Data preparation succeeded
LOGFILE:/dev/null
$bin/ngt -i="$inpfile" -n=$order -gooout=y -o="$gzip -c > $tmpdir/ngram.${sdict}.gz" -fd="$tmpdir/$sdict" $dictionary $additional_parameters >> $logfile 2>&1
$scr/build-sublm.pl $verbose $prune $prune_thr_str $smoothing "$additional_smoothing_parameters" --size $order --ngrams "$gunzip -c $tmpdir/ngram.${sdict}.gz" -sublm $tmpdir/lm.$sdict $additional_parameters >> $logfile 2>&1
inpfile: data/local/lm_tmp/lm_phone_bg.ilm.gz
outfile: /dev/stdout
loading up to the LM level 1000 (if any)
dub: 10000000
OOV code is 50
OOV code is 50
Saving in txt format to /dev/stdout
Dictionary & language model preparation succeeded
Checking data/local/dict/silence_phones.txt ...
--> reading data/local/dict/silence_phones.txt
--> data/local/dict/silence_phones.txt is OK Checking data/local/dict/optional_silence.txt ...
--> reading data/local/dict/optional_silence.txt
--> data/local/dict/optional_silence.txt is OK Checking data/local/dict/nonsilence_phones.txt ...
--> reading data/local/dict/nonsilence_phones.txt
--> data/local/dict/nonsilence_phones.txt is OK Checking disjoint: silence_phones.txt, nonsilence_phones.txt
--> disjoint property is OK. Checking data/local/dict/lexicon.txt
--> reading data/local/dict/lexicon.txt
--> data/local/dict/lexicon.txt is OK Checking data/local/dict/extra_questions.txt ...
--> reading data/local/dict/extra_questions.txt
--> data/local/dict/extra_questions.txt is OK
--> SUCCESS [validating dictionary directory data/local/dict] **Creating data/local/dict/lexiconp.txt from data/local/dict/lexicon.txt
fstaddselfloops data/lang/phones/wdisambig_phones.int data/lang/phones/wdisambig_words.int
prepare_lang.sh: validating output directory
utils/validate_lang.pl data/lang
Checking data/lang/phones.txt ...
--> data/lang/phones.txt is OK Checking words.txt: #0 ...
--> data/lang/words.txt is OK Checking disjoint: silence.txt, nonsilence.txt, disambig.txt ...
--> silence.txt and nonsilence.txt are disjoint
--> silence.txt and disambig.txt are disjoint
--> disambig.txt and nonsilence.txt are disjoint
--> disjoint property is OK Checking sumation: silence.txt, nonsilence.txt, disambig.txt ...
--> summation property is OK Checking data/lang/phones/context_indep.{txt, int, csl} ...
--> 1 entry/entries in data/lang/phones/context_indep.txt
--> data/lang/phones/context_indep.int corresponds to data/lang/phones/context_indep.txt
--> data/lang/phones/context_indep.csl corresponds to data/lang/phones/context_indep.txt
--> data/lang/phones/context_indep.{txt, int, csl} are OK Checking data/lang/phones/nonsilence.{txt, int, csl} ...
--> 47 entry/entries in data/lang/phones/nonsilence.txt
--> data/lang/phones/nonsilence.int corresponds to data/lang/phones/nonsilence.txt
--> data/lang/phones/nonsilence.csl corresponds to data/lang/phones/nonsilence.txt
--> data/lang/phones/nonsilence.{txt, int, csl} are OK Checking data/lang/phones/silence.{txt, int, csl} ...
--> 1 entry/entries in data/lang/phones/silence.txt
--> data/lang/phones/silence.int corresponds to data/lang/phones/silence.txt
--> data/lang/phones/silence.csl corresponds to data/lang/phones/silence.txt
--> data/lang/phones/silence.{txt, int, csl} are OK Checking data/lang/phones/optional_silence.{txt, int, csl} ...
--> 1 entry/entries in data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.int corresponds to data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.csl corresponds to data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.{txt, int, csl} are OK Checking data/lang/phones/disambig.{txt, int, csl} ...
--> 2 entry/entries in data/lang/phones/disambig.txt
--> data/lang/phones/disambig.int corresponds to data/lang/phones/disambig.txt
--> data/lang/phones/disambig.csl corresponds to data/lang/phones/disambig.txt
--> data/lang/phones/disambig.{txt, int, csl} are OK Checking data/lang/phones/roots.{txt, int} ...
--> 48 entry/entries in data/lang/phones/roots.txt
--> data/lang/phones/roots.int corresponds to data/lang/phones/roots.txt
--> data/lang/phones/roots.{txt, int} are OK Checking data/lang/phones/sets.{txt, int} ...
--> 48 entry/entries in data/lang/phones/sets.txt
--> data/lang/phones/sets.int corresponds to data/lang/phones/sets.txt
--> data/lang/phones/sets.{txt, int} are OK Checking data/lang/phones/extra_questions.{txt, int} ...
--> 2 entry/entries in data/lang/phones/extra_questions.txt
--> data/lang/phones/extra_questions.int corresponds to data/lang/phones/extra_questions.txt
--> data/lang/phones/extra_questions.{txt, int} are OK Checking optional_silence.txt ...
--> reading data/lang/phones/optional_silence.txt
--> data/lang/phones/optional_silence.txt is OK Checking disambiguation symbols: #0 and #1
--> data/lang/phones/disambig.txt has "#0" and "#1"
--> data/lang/phones/disambig.txt is OK Checking topo ... Checking word-level disambiguation symbols...
--> data/lang/phones/wdisambig.txt exists (newer prepare_lang.sh)
Checking data/lang/oov.{txt, int} ...
--> 1 entry/entries in data/lang/oov.txt
--> data/lang/oov.int corresponds to data/lang/oov.txt
--> data/lang/oov.{txt, int} are OK --> data/lang/L.fst is olabel sorted
--> data/lang/L_disambig.fst is olabel sorted
--> SUCCESS [validating lang directory data/lang]
Preparing train, dev and test data
utils/validate_data_dir.sh: Successfully validated data-directory data/train
utils/validate_data_dir.sh: Successfully validated data-directory data/dev
utils/validate_data_dir.sh: Successfully validated data-directory data/test
Preparing language models for test
arpa2fst --disambig-symbol=#0 --read-symbol-table=data/lang_test_bg/words.txt - data/lang_test_bg/G.fst
LOG (arpa2fst[5.2.124~1396-70748]:Read():arpa-file-parser.cc:98) Reading \data\ section.
LOG (arpa2fst[5.2.124~1396-70748]:Read():arpa-file-parser.cc:153) Reading \1-grams: section.
LOG (arpa2fst[5.2.124~1396-70748]:Read():arpa-file-parser.cc:153) Reading \2-grams: section.
WARNING (arpa2fst[5.2.124~1396-70748]:ConsumeNGram():arpa-lm-compiler.cc:313) line 60 [-3.26717<s> <s>] skipped: n-gram has invalid BOS/EOS placement
LOG (arpa2fst[5.2.124~1396-70748]:RemoveRedundantStates():arpa-lm-compiler.cc:359) Reduced num-states from 50 to 50
fstisstochastic data/lang_test_bg/G.fst
0.000510126 -0.0763018
utils/validate_lang.pl data/lang_test_bg
Checking data/lang_test_bg/phones.txt ...
--> data/lang_test_bg/phones.txt is OK Checking words.txt: #0 ...
--> data/lang_test_bg/words.txt is OK Checking disjoint: silence.txt, nonsilence.txt, disambig.txt ...
--> silence.txt and nonsilence.txt are disjoint
--> silence.txt and disambig.txt are disjoint
--> disambig.txt and nonsilence.txt are disjoint
--> disjoint property is OK Checking sumation: silence.txt, nonsilence.txt, disambig.txt ...
--> summation property is OK Checking data/lang_test_bg/phones/context_indep.{txt, int, csl} ...
--> 1 entry/entries in data/lang_test_bg/phones/context_indep.txt
--> data/lang_test_bg/phones/context_indep.int corresponds to data/lang_test_bg/phones/context_indep.txt
--> data/lang_test_bg/phones/context_indep.csl corresponds to data/lang_test_bg/phones/context_indep.txt
--> data/lang_test_bg/phones/context_indep.{txt, int, csl} are OK Checking data/lang_test_bg/phones/nonsilence.{txt, int, csl} ...
--> 47 entry/entries in data/lang_test_bg/phones/nonsilence.txt
--> data/lang_test_bg/phones/nonsilence.int corresponds to data/lang_test_bg/phones/nonsilence.txt
--> data/lang_test_bg/phones/nonsilence.csl corresponds to data/lang_test_bg/phones/nonsilence.txt
--> data/lang_test_bg/phones/nonsilence.{txt, int, csl} are OK Checking data/lang_test_bg/phones/silence.{txt, int, csl} ...
--> 1 entry/entries in data/lang_test_bg/phones/silence.txt
--> data/lang_test_bg/phones/silence.int corresponds to data/lang_test_bg/phones/silence.txt
--> data/lang_test_bg/phones/silence.csl corresponds to data/lang_test_bg/phones/silence.txt
--> data/lang_test_bg/phones/silence.{txt, int, csl} are OK Checking data/lang_test_bg/phones/optional_silence.{txt, int, csl} ...
--> 1 entry/entries in data/lang_test_bg/phones/optional_silence.txt
--> data/lang_test_bg/phones/optional_silence.int corresponds to data/lang_test_bg/phones/optional_silence.txt
--> data/lang_test_bg/phones/optional_silence.csl corresponds to data/lang_test_bg/phones/optional_silence.txt
--> data/lang_test_bg/phones/optional_silence.{txt, int, csl} are OK Checking data/lang_test_bg/phones/disambig.{txt, int, csl} ...
--> 2 entry/entries in data/lang_test_bg/phones/disambig.txt
--> data/lang_test_bg/phones/disambig.int corresponds to data/lang_test_bg/phones/disambig.txt
--> data/lang_test_bg/phones/disambig.csl corresponds to data/lang_test_bg/phones/disambig.txt
--> data/lang_test_bg/phones/disambig.{txt, int, csl} are OK Checking data/lang_test_bg/phones/roots.{txt, int} ...
--> 48 entry/entries in data/lang_test_bg/phones/roots.txt
--> data/lang_test_bg/phones/roots.int corresponds to data/lang_test_bg/phones/roots.txt
--> data/lang_test_bg/phones/roots.{txt, int} are OK Checking data/lang_test_bg/phones/sets.{txt, int} ...
--> 48 entry/entries in data/lang_test_bg/phones/sets.txt
--> data/lang_test_bg/phones/sets.int corresponds to data/lang_test_bg/phones/sets.txt
--> data/lang_test_bg/phones/sets.{txt, int} are OK Checking data/lang_test_bg/phones/extra_questions.{txt, int} ...
--> 2 entry/entries in data/lang_test_bg/phones/extra_questions.txt
--> data/lang_test_bg/phones/extra_questions.int corresponds to data/lang_test_bg/phones/extra_questions.txt
--> data/lang_test_bg/phones/extra_questions.{txt, int} are OK Checking optional_silence.txt ...
--> reading data/lang_test_bg/phones/optional_silence.txt
--> data/lang_test_bg/phones/optional_silence.txt is OK Checking disambiguation symbols: #0 and #1
--> data/lang_test_bg/phones/disambig.txt has "#0" and "#1"
--> data/lang_test_bg/phones/disambig.txt is OK Checking topo ... Checking word-level disambiguation symbols...
--> data/lang_test_bg/phones/wdisambig.txt exists (newer prepare_lang.sh)
Checking data/lang_test_bg/oov.{txt, int} ...
--> 1 entry/entries in data/lang_test_bg/oov.txt
--> data/lang_test_bg/oov.int corresponds to data/lang_test_bg/oov.txt
--> data/lang_test_bg/oov.{txt, int} are OK --> data/lang_test_bg/L.fst is olabel sorted
--> data/lang_test_bg/L_disambig.fst is olabel sorted
--> data/lang_test_bg/G.fst is ilabel sorted
--> data/lang_test_bg/G.fst has 50 states
fstdeterminizestar data/lang_test_bg/G.fst /dev/null
--> data/lang_test_bg/G.fst is determinizable
--> utils/lang/check_g_properties.pl successfully validated data/lang_test_bg/G.fst
--> utils/lang/check_g_properties.pl succeeded.
--> Testing determinizability of L_disambig . G
fstdeterminizestar
fsttablecompose data/lang_test_bg/L_disambig.fst data/lang_test_bg/G.fst
--> L_disambig . G is determinizable
--> SUCCESS [validating lang directory data/lang_test_bg]
Succeeded in formatting data.
============================================================================
============================================================================
MFCC Feature Extration & CMVN for Training and Test set
============================================================================
steps/make_mfcc.sh --cmd run.pl --mem 4G --nj 10 data/train exp/make_mfcc/train mfcc
utils/validate_data_dir.sh: Successfully validated data-directory data/train
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
Succeeded creating MFCC features for train
steps/compute_cmvn_stats.sh data/train exp/make_mfcc/train mfcc
Succeeded creating CMVN stats for train
steps/make_mfcc.sh --cmd run.pl --mem 4G --nj 10 data/dev exp/make_mfcc/dev mfcc
utils/validate_data_dir.sh: Successfully validated data-directory data/dev
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
Succeeded creating MFCC features for dev
steps/compute_cmvn_stats.sh data/dev exp/make_mfcc/dev mfcc
Succeeded creating CMVN stats for dev
steps/make_mfcc.sh --cmd run.pl --mem 4G --nj 10 data/test exp/make_mfcc/test mfcc
utils/validate_data_dir.sh: Successfully validated data-directory data/test
steps/make_mfcc.sh: [info]: no segments file exists: assuming wav.scp indexed by utterance.
Succeeded creating MFCC features for test
steps/compute_cmvn_stats.sh data/test exp/make_mfcc/test mfcc
Succeeded creating CMVN stats for test
============================================================================
kaldi的TIMIT实例一的更多相关文章
- kaldi的TIMIT实例三
============================================================================ MMI + SGMM2 Training &a ...
- kaldi的TIMIT实例二
============================================================================ MonoPhone Training & ...
- kaldi 三个脚本cmd.sh path.sh run.sh
参考 kaldi 的全部资料_v0.4 cmd.sh 脚本为: 可以很清楚的看到有 3 个分类分别对应 a,b,c.a 和 b 都是集群上去运行这个样子, c 就是我们需要的.我们在虚拟机上运行的 ...
- Ubuntu下kaldi安装
该文章为博主原创,如若转载请注明出处:https://www.cnblogs.com/fengleixue/p/9482202.html 因公司业务需要需使用kaldi语音识别工具,现将kaldi环境 ...
- 最近学习工作流 推荐一个activiti 的教程文档
全文地址:http://www.mossle.com/docs/activiti/ Activiti 5.15 用户手册 Table of Contents 1. 简介 协议 下载 源码 必要的软件 ...
- kaldi实例脚本运行
Getting started, and prerequisites. rm/s5/run.sh Data preparation 如果有GridEngine, train_cmd="que ...
- [转]Kaldi语音识别
转:http://ftli.farbox.com/post/kaldizhong-wen-shi-bie Kaldi语音识别 1.声学建模单元的选择 1.1对声学建模单元加入位置信息 2.输入特征 3 ...
- Kaldi的关键词搜索（Keyword Search，KWS）
本文简单地介绍了KWS的原理--为Lattice中每个词生成索引并进行搜索:介绍了如何处理OOV--替补(Proxy,词典内对OOV的替补)关键词技术:介绍了KWS的语料库格式:介绍了KWS在Kald ...
- Kaldi语料的两种切分/组织方式及其处理
text中每一个文本段由一个音频索引(indexed by utterance) 使用该方式的egs:librispeech.timit.thchs30.atc_en.atc_cn 语料的组织形式为: ...
随机推荐
- I2C的小结
下面是 I 2 C 总线的一些特征 只要求两条总线线路 一条串行数据线 SDA 一条串行时钟线 SCL 每个连接到总线的器件都可以通过唯一的地址和一直存在的简单的主机 从机关系软件设定地 址 主机可以 ...
- 记一次vcsa6修复过程
一. 某天发现一台vmware vCenter Server Appliance services 6偶尔能登陆了,但极不稳定,连shell都偶尔能进...... 然后利用各种手段想方设法进到she ...
- ELK Redis高性能加速
1.下载redis并安装好 wget http://download.redis.io/releases/redis-2.8.13.tar.gz tar zxf redis-.tar.gz cd re ...
- canvas刮刮乐游戏等
裁剪 ctx.clip():当前路径外的区域不再绘制 <canvas id="cans" width=500 height=500></canvas> &l ...
- easyui改变tab标题
截图: 代码: //更改tab的标题 var tab = $('#microAppVersionTabs').tabs('getTab',0);// 取得第一个tab $('#microAppVe ...
- 转 - spring security oauth2 password授权模式
原贴地址: https://segmentfault.com/a/1190000012260914#articleHeader6 序 前面的一篇文章讲了spring security oauth2的c ...
- CentOS 性能监测命令
1.实时监测命令(watch) -d 高亮显示变化 -n 间隔多久(s) 执行后面的command #每隔1秒显示空间使用情况并列出当前目录下的列表信息 EX:watch -d -n 1 'df -h ...
- Hands-On Unity 2018 x 移动游戏开发教程
Hands-On Unity 2018 x Game Development for Mobile 使用Unity 2018.2创建具有出色游戏功能的精彩游戏 想学习在Unity制作游戏,但不知道 ...
- python中的字符串
一.在python中,字符串是不可变类型 通过以下代码说明: >>> s = 'hello, world' >>> id(s) 2108634288304 > ...
- React createRef：引用
一 代码 import React, { Component } from 'react'; class Box extends Component { render() { return <b ...