📄 nbest-mix.html
字号:
<! $Id: nbest-mix.1,v 1.6 2004/12/03 17:59:01 stolcke Exp $><HTML><HEADER><TITLE>nbest-mix</TITLE><BODY><H1>nbest-mix</H1><H2> NAME </H2>nbest-mix - interpolate N-best posterior probabilities<H2> SYNOPSIS </H2><B> nbest-mix </B>[<B>-help</B>]<B></B>option...<I> weight1 </I><I> nbest1 </I><I> weight2 </I><I> nbest2 </I>...<H2> DESCRIPTION </H2><B> nbest-mix </B>reads a number of N-best lists (which must contain identicalhypotheses), computes the hypothesis posterior probabilities for each,and computes a new posterior distribution that is aweighted mixture of the input distributions.The hypothesis with the highest combined posterior probability isprinted.<P>The command line arguments form an alternating list of weight values and N-best file names.<H2> OPTIONS </H2><P>Each filename argument can be an ASCII file, or a compressed file (name ending in .Z or .gz), or ``-'' to indicatestdin/stdout.<DL><DT><B> -help </B><DD>Print option summary.<DT><B> -version </B><DD>Print version information.<DT><B>-debug</B><I> level</I><B></B><DD>Controls the amount of output (the higher the<I>level</I>,<I></I>the more).<DT><B>-write-nbest</B><I> file</I><B></B><DD>Output N-best lists containing scores that correspond to the log ofthe combined posteriors of the input hypotheses.The log posterior is assigned as the acoustic score and other scoresare set to zero.This also suppresses the printing of the best hyp.<DT><B>-max-nbest</B><I> n</I><B></B><DD>Limits the number of hypotheses read from each N-best list to the first<I>n</I>.<I></I><DT><B>-rescore-lmw</B><I> lmw</I><B></B><DD>Sets the language model weight used in combining the language model logprobabilities with acoustic log probabilities(only relevant if separate scores are given in the N-best input).<DT><B>-rescore-wtw</B><I> wtw</I><B></B><DD>Sets the word transition weight used to weight the number of words relative tothe acoustic log probabilities(only relevant if separate scores are given in the N-best input).<DT><B>-posterior-scale</B><I> scale</I><B></B><DD>Divide the total weighted log score by <I> scale </I>when computing normalized posterior probabilities.This controls the peakedness of the posterior distribution. The default value is whatever was chosen for <I>lmw</I>,<I></I>so that language model scores are scaled to have weight 1,and acoustic scores have weight 1/<I>lmw</I>.<DT><B> -set-lm-scores </B><DD>In conjunction with<B>-write-nbest</B>,<B></B>output N-best lists that preserve the acoustic scores and word counts of the (first of the) input N-best lists, and encodes the combined log posteriors via the LM scores.The LM scores in the output are calculated so that, when combined withthe acoustic scores and insertion penalties (using the given LM weightand posterior scaling), the result is the weighted, combined posteriors basedon all input N-best scores.This option is useful if input N-best lists were created by rescoring withdifferent language models, and the output N-best lists are to be combinedwith other scores or if the score weighting is to be optimized with<A HREF="nbest-optimize.html">nbest-optimize(1)</A>.<DT><B> -set-am-scores </B><DD>Analogous to <B>-set-lm-scores</B>,<B></B>except that the acoustic scores are modified to reflect combined log posteriorprobabiltities, and other scores are preserved.This option is useful if input N-best lists were created by rescoring withdifferent acoustic models.</DD></DL><H2> SEE ALSO </H2><A HREF="nbest-lattice.html">nbest-lattice(1)</A>, <A HREF="nbest-scripts.html">nbest-scripts(1)</A>, <A HREF="nbest-optimize.html">nbest-optimize(1)</A>.<BR>A. Stolcke, K. Ries, N. Coccaro, E. Shriberg, R. Bates, D. Jurafsky, P. Taylor,R. Martin, C. Van Ess-Dykema, & M. Meteer,``Dialogue Act Modeling for Automatic Tagging and Recognition of ConversationalSpeech,''<I>Computational Linguistics</I> 26(3), 339-373, 2000.<H2> BUGS </H2>Hopefully not.<H2> AUTHOR </H2>Andreas Stolcke <stolcke@speech.sri.com>.<BR>Copyright 1998-2004 SRI International</BODY></HTML>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -