机译:低资源LVCSR的多流后验特征和子空间Gmms组合
Tsinghua;
National;
Laboratory;
for;
Information;
Science;
and;
Technology,;
Department;
of;
Electronic;
Engineering,;
Tsinghua;
University,;
Beijing;
100084,;
China;
高斯混合模型; 子空间; 连续语音识别; 资源; 多流; 培训模式; 目标语言; 大词汇量;