HTK 语音识别 ASK.doc

HTK 语音识别 ASKHTK语音识别ASK大词汇量连续语音识别用声韵母建模在新增加一个读音时可以只修改dict与gram即可HTK中识别结果到时间转换13600000 16320000 hao-1452.207031直接除以10的7次方hao的发音从1.36秒到1.632秒也就是说HTK是以100微秒作为基本单位输出HTK bad data or over pruning报警找到一封邮件问：Hi,Omer Moav wrote：Processing Data：cmu_us_arctic_awb_a0015.cmp；Label cmu_us_arctic_awb_a0015.lab Unable to traverse 105 states in 1frames WARNING-7324StepBack：File/home/omergil/downloads/HTS-demo_CMU-ARCTIC-AWB/cmp/cmu_us_arctic_awb_a0015.cmp-bad data or over pruning in/home/omergil/downloads/htk/bin.linux/HERest答The above warning means that cmu_us_arctic_awb_a0015.cmp is corrupted.I recommend you to re-run it.我根据报警信息查找对应的报警文件通过查看我的错误信息是因为切割语音过小基本上只有半个发音所以训练的时候识别不出来会出一个警告三因素模型状态绑定.(原因没有加入sp静音模型)WB sp WB sil TC sp与sil负责断句sil th ih ssp mae nsp.HLEd.exe-n.liststriphones1-l*-i.labelswintri.mlf mktri.led.labelsaligned.mlf之后变成sil th+ih th-ih+s ih-s sp m+ae m-ae+n ae-n sp.perl.scriptsmaketrihed.listsmonophones1.liststriphones1产生的mktri.hed解释CL./lists/triphones1 TI T_b(*-b+*,b+*,*-b).transPTI T_p(*-p+*,p+*,*-p).transPCL表示克隆的意思TI表示连接HERest-B-C.configconfig2-I.labelswintri.mlf-t 250.0 150.0 1000.0-s stats-S train.scp-H.hmmshmm11macros-H.hmmshmm11hmmsdef-M.hmmshmm12.liststriphones 1-B以二进制方式存储文件-s stats生成stats文件构造决策树识别结果correct accurate 1、词正确识别率correct=(N-D-S)%N*100%2)、识别精度accurate=(N-D-S-I)%N*100%N：原始脚本文件中词的个数D：识别结果对应于参考句子脚本中删除的词的个数S：识别结果对应于参考句子脚本中替换的词的个数I：识别结果对应于参考句子脚本中插入的词的个数在gram.txt文件中将(SENT-START($word|SENT-START)SENT-END)改为$word word发音中增加SENT-START效果失败效果成功$word=a|ai|an|ang|ao|ba|bai|ban|bang|bao|bei|ben|beng|bi|bian|biao|bie|bin|bing|bo|bu|ca|cai|can|cang|cao|ce|cen|ceng|cha|chai|chan|chang|chao|che|chen|cheng|chi|chong|chou|chu|chua|chuai|chuan|chuang|chui|chun|chuo|ci|cong|cou|cu|cuan|cui|cun|cuo|da|dai|dan|dang|dao|de|den|deng|di|dia|dian|diao|die|ding|diu|dong|dou|du|duan|dui|dun|duo|e|en|eng|er|fa|fan|fang|fei|fen|feng|fo|fu|ga|gai|gan|gang|gao|ge|gei|gen|geng|gong|gou|gu|gua|guai|guan|guang|gui|gun|guo|ha|hai|han|hang|hao|he|hei|hen|heng|hong|hou|hu|hua|huai|huan|huang|hui|hun|huo|ji|jia|jian|jiang|jiao|jie|jin|jing|jiong|jiu|jv|jvan|jve|jvn|ka|kai|kan|kang|kao|ke|ken|keng|kong|kou|ku|kua|kuai|kuan|kuang|kui|kun|kuo|la|lai|lan|lang|lao|le|lei|leng|li|lia|lian|liang|liao|lie|lin|ling|liu|lo|long|lou|lu|luan|lve|lun|luo|lv|ma|mai|man|mang|mao|me|mei|men|meng|mi|mian|miao|mie|min|ming|miu|mo|mou|mu|na|nai|nan|nang|nao|ne|nei|nen|neng|ni|nian|niang|niao|nie|nin|ning|niu|nong|nu|nve|nv|nuan|nuo|nun|o|ou|pa|pai|pan|pang|pao|pei|pen|peng|pi|pian|piao|pie|pin|ping|po|pou|pu|qi|qia|qian|qiang|qiao|qie|qin|qing|qiong|qiu|qv|qvan|qve|qvn|ran|ang|rao|re|ren|reng|ri|rong|rou|ru|rua|ruan|rui|run|ruo|sa|sai|san|sang|sao|se|sen|seng|sha|shai|shan|shang|shao|she|shen|sheng|shi|shou|shu|shua|shuai|shuan|shui|shun|shuo|si|song|sou|su|suan|sui|sun|suo|ta|tai|tan|tang|tao|te|tei|teng|ti|tian|tiao|tie|ting|tong|tou|tu|tuan|tui|tun|tuo|wa|wai|wan|wang|wei|wen|weng|wo|wu|xi|xia|xian|xiang|xiao|xie|xin|xing|xiong|xiu|xv|xvan|xve|xvn|ya|yan|yang|yao|ye|yv|yi|yin|ying|yo|yong|you|yvan|yve|yvn|za|zai|zan|zang|zao|ze|zei|zen|zeng|zha|zhai|zhan|zhang|zhao|zhe|zhen|zheng|zhi|zhong|zhou|zhu|zhua|zhuai|zhuan|zhuang|zhui|zhun|zhuo|zi|zong|zou|zu|zu an|zui|zun|zuo|fou|shuang|silence；(SENT-START$word SENT-END)Yes l上下文相关建模可以很好地解决l细化建模l协同发音l发音变异l口音l参数共享级别l模型级(model-level lstate-level l混合级(mixture-level l其它各种参数的共享(如转移矩阵、中心、方差、混合权重等)vFloors的产生与作用HCompV has anumber of options specied fori t.The-f option causes avariance oor macro(called vFloors)to be generated which is equal to 0.01 times the global variance.This is avector of values which will be used to set aoor on the variances estimated in the subsequent steps.产生下一阶段variances的初始化值D：tryputong HVite-H.hmmshmm12macros-H.hmmshmm12hmmsdef-S test.scp-l*-i.resultsrecout_step1.