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自己做一个网站难不难/2345网址导航电脑版
admin2025/4/21 20:02:19【news】
简介自己做一个网站难不难,2345网址导航电脑版,做视频网站怎么赚钱,个人如何建立免费手机网站解码脚本包含三个模型，对于说话人无关的系统也是这样。首先会进行一次说话人无关的解码，alignment model是第一次解码的Gaussian-level的对齐，然后进行fmllr的估计，生成"adaptation model" ，即FMLLR转换矩阵…
自己做一个网站难不难,2345网址导航电脑版,做视频网站怎么赚钱,个人如何建立免费手机网站解码脚本包含三个模型，对于说话人无关的系统也是这样。首先会进行一次说话人无关的解码，alignment model是第一次解码的Gaussian-level的对齐，然后进行fmllr的估计，生成"adaptation model" ，即FMLLR转换矩阵…
解码脚本包含三个模型，对于说话人无关的系统也是这样。
首先会进行一次说话人无关的解码，alignment model是第一次解码的Gaussian-level的对齐，然后进行fmllr的估计，生成"adaptation model" ，即FMLLR转换矩阵，产生state-level lattices，最后这些lattices在final model中进行重新打分。
# There are 3 models involved potentially in this script,
# and for a standard, speaker-independent system they will all be the same.
# The "alignment model" is for the 1st-pass decoding and to get the
# Gaussian-level alignments for the "adaptation model" the first time we
# do fMLLR. The "adaptation model" is used to estimate fMLLR transforms
# and to generate state-level lattices. The lattices are then rescored
# with the "final model".
#
# The following table explains where we get these 3 models from.
# Note: $srcdir is one level up from the decoding directory.
#
# Model Default source:
#
# "alignment model" $srcdir/final.alimdl --alignment-model <model>
# (or $srcdir/final.mdl if alimdl absent)
# "adaptation model" $srcdir/final.mdl --adapt-model <model>
# "final model" $srcdir/final.mdl --final-model <model>
